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Volumn 23, Issue 1, 2010, Pages 89-107

Clustering: A neural network approach

Author keywords

Clustering; Competitive learning; Competitive learning network; Neural network; Vector quantization

Indexed keywords

ART MODEL; ASSOCIATED TOPICS; C-MEANS; CLUSTER VALIDITY; CLUSTERING METHODS; COMPETITIVE LEARNING; COMPETITIVE LEARNING NETWORK; DATA ANALYSIS METHODS; FUNCTION APPROXIMATION; FUZZY C-MEANS ALGORITHMS; HIER-ARCHICAL CLUSTERING; INHERENT STRUCTURES; LEARNING VECTOR QUANTIZATION; NEURAL GAS; NON-EUCLIDEAN DISTANCE; OBJECTS-BASED; ROBUST CLUSTERING; SIMILARITY MEASURE; STATISTICAL MODELS; SUPERVISED CLUSTERING; UNSUPERVISED CLASSIFICATION;

EID: 70649103872     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.08.007     Document Type: Article
Times cited : (245)

References (213)
  • 1
  • 3
    • 33646268765 scopus 로고
    • Polygonal shape description of plane boundaries
    • Troncale L (ed, Louisville, KY pp
    • Anderson, I.A., Bezdek, J.C., & Dave, R. (1982). Polygonal shape description of plane boundaries. In: Troncale L (ed). Systems science and science, 1, SGSR, Louisville, KY (pp. 295-301)
    • (1982) Systems science and science, 1, SGSR , pp. 295-301
    • Anderson, I.A.1    Bezdek, J.C.2    Dave, R.3
  • 4
    • 0030130089 scopus 로고    scopus 로고
    • Implementing the robustness of winner-take-all cellular neural network
    • Andrew L. Implementing the robustness of winner-take-all cellular neural network. IEEE Transactions on Circuits and Systems-II 43 4 (1996) 329-334
    • (1996) IEEE Transactions on Circuits and Systems-II , vol.43 , Issue.4 , pp. 329-334
    • Andrew, L.1
  • 6
    • 0014060964 scopus 로고
    • A clustering technique for summarizing multivariate data
    • Ball G.H., and Hall D.J. A clustering technique for summarizing multivariate data. Behavioural Science 12 (1967) 153-155
    • (1967) Behavioural Science , vol.12 , pp. 153-155
    • Ball, G.H.1    Hall, D.J.2
  • 8
    • 0036798199 scopus 로고    scopus 로고
    • An evolutionary technique based on k-means algorithm for optimal clustering
    • Bandyopadhyay S., and Maulik U. An evolutionary technique based on k-means algorithm for optimal clustering. Information Sciences 146 (2002) 221-237
    • (2002) Information Sciences , vol.146 , pp. 221-237
    • Bandyopadhyay, S.1    Maulik, U.2
  • 9
    • 0033281101 scopus 로고    scopus 로고
    • A survey of fuzzy clustering algorithms for pattern recognition-Part II
    • Baraldi A., and Blonda P. A survey of fuzzy clustering algorithms for pattern recognition-Part II. IEEE Transactions on Systems Man and Cybernetics-B 29 6 (1999) 786-801
    • (1999) IEEE Transactions on Systems Man and Cybernetics-B , vol.29 , Issue.6 , pp. 786-801
    • Baraldi, A.1    Blonda, P.2
  • 10
    • 0036565002 scopus 로고    scopus 로고
    • Constructive feedforward ART clustering networks-Part I; Part II
    • Baraldi A., and Alpaydin E. Constructive feedforward ART clustering networks-Part I; Part II. IEEE Transactions on Neural Networks 13 3 (2002) 645-677
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 645-677
    • Baraldi, A.1    Alpaydin, E.2
  • 11
    • 33748021861 scopus 로고    scopus 로고
    • Novel neural network model combining radial basis function, competitive Hebbian learning rule, and fuzzy simplified adaptive resonance theory
    • Baraldi, A., & Parmiggiani, F. (1997). Novel neural network model combining radial basis function, competitive Hebbian learning rule, and fuzzy simplified adaptive resonance theory. In Proc SPIE, vol. 3165, (pp. 98-112)
    • (1997) Proc SPIE , vol.3165 , pp. 98-112
    • Baraldi, A.1    Parmiggiani, F.2
  • 14
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • Bezdek J. Cluster validity with fuzzy sets. Journla of Cybernetics 3 3 (1974) 58-71
    • (1974) Journla of Cybernetics , vol.3 , Issue.3 , pp. 58-71
    • Bezdek, J.1
  • 16
    • 0028810397 scopus 로고
    • Two soft relatives of learning vector quantization
    • Bezdek J.C., and Pal N.R. Two soft relatives of learning vector quantization. Neural Networks 8 5 (1995) 729-743
    • (1995) Neural Networks , vol.8 , Issue.5 , pp. 729-743
    • Bezdek, J.C.1    Pal, N.R.2
  • 18
    • 0026973258 scopus 로고    scopus 로고
    • Bezdek, J.C., Tsao, E.C., & Pal, N.R. (1992). Fuzzy Kohonen clustering networks. In Proc 1st IEEE int conf fuzzy syst, (pp. 1035-1043)
    • Bezdek, J.C., Tsao, E.C., & Pal, N.R. (1992). Fuzzy Kohonen clustering networks. In Proc 1st IEEE int conf fuzzy syst, (pp. 1035-1043)
  • 19
    • 22644451496 scopus 로고    scopus 로고
    • Principal direction divisive partitioning
    • Boley D. Principal direction divisive partitioning. Data Mining and Knowledge Discovery 2 4 (1998) 325-344
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.4 , pp. 325-344
    • Boley, D.1
  • 20
    • 70649098593 scopus 로고    scopus 로고
    • Bradley, P.S., Fayyad, U.M., & Reina, C.A. (1998). Scaling EM (Expectation-maximization) clustering to large databases. MSR-TR-98-35, Microsoft Research
    • Bradley, P.S., Fayyad, U.M., & Reina, C.A. (1998). Scaling EM (Expectation-maximization) clustering to large databases. MSR-TR-98-35, Microsoft Research
  • 21
    • 84898974025 scopus 로고    scopus 로고
    • Clustering via Concave minimization
    • Touretzky D.S., Mozer M.C., and Hasselmo M.E. (Eds), MIT Press, Cambridge (MA)
    • Bradley P.S., Mangasarian O.L., and Steet W.N. Clustering via Concave minimization. In: Touretzky D.S., Mozer M.C., and Hasselmo M.E. (Eds). Advances in neural information processing systems vol. 8 (1996), MIT Press, Cambridge (MA) 368-374
    • (1996) Advances in neural information processing systems , vol.8 , pp. 368-374
    • Bradley, P.S.1    Mangasarian, O.L.2    Steet, W.N.3
  • 22
    • 0000621802 scopus 로고
    • Multivariable functional interpolation and adaptive networks
    • Broomhead D.S., and Lowe D. Multivariable functional interpolation and adaptive networks. Complex Systems 2 (1988) 321-355
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 23
    • 0012808422 scopus 로고
    • Dynamic Cell Structure
    • Tesauro G., Touretzky D.S., and Leen T.K. (Eds), MIT Press, Cambridge (MA)
    • Bruske J., and Sommer G. Dynamic Cell Structure. In: Tesauro G., Touretzky D.S., and Leen T.K. (Eds). Advances in neural information processing systems vol. 7 (1995), MIT Press, Cambridge (MA) 497-504
    • (1995) Advances in neural information processing systems , vol.7 , pp. 497-504
    • Bruske, J.1    Sommer, G.2
  • 24
    • 0032073467 scopus 로고    scopus 로고
    • Supervised training technique for radial basis function neural networks
    • Bruzzone L., and Prieto D.F. Supervised training technique for radial basis function neural networks. Electronics Letters 34 11 (1998) 1115-1116
    • (1998) Electronics Letters , vol.34 , Issue.11 , pp. 1115-1116
    • Bruzzone, L.1    Prieto, D.F.2
  • 27
    • 0025747582 scopus 로고
    • Clustering characterization of adaptive resonance
    • Burke L.I. Clustering characterization of adaptive resonance. Neural Networks 4 4 (1991) 485-491
    • (1991) Neural Networks , vol.4 , Issue.4 , pp. 485-491
    • Burke, L.I.1
  • 30
    • 0036120047 scopus 로고    scopus 로고
    • Projective ART for clustering data sets in high dimensional spaces
    • Cao Y., and Wu J. Projective ART for clustering data sets in high dimensional spaces. Neural Networks 15 (2002) 105-120
    • (2002) Neural Networks , vol.15 , pp. 105-120
    • Cao, Y.1    Wu, J.2
  • 31
    • 0031277463 scopus 로고    scopus 로고
    • Distributed learning, recognition, and prediction by ART and ARTMAP neural networks
    • Carpenter G.A. Distributed learning, recognition, and prediction by ART and ARTMAP neural networks. Neural Networks 10 (1997) 1473-1494
    • (1997) Neural Networks , vol.10 , pp. 1473-1494
    • Carpenter, G.A.1
  • 33
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition machine
    • Carpenter G.A., and Grossberg S. A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics, Image Processing 37 (1987) 54-115
    • (1987) Computer Vision, Graphics, Image Processing , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 34
    • 84973857317 scopus 로고
    • ART 2: Self-organization of stable category recognition codes for analog input patterns
    • Carpenter G.A., and Grossberg S. ART 2: Self-organization of stable category recognition codes for analog input patterns. Applied Optics 26 (1987) 4919-4930
    • (1987) Applied Optics , vol.26 , pp. 4919-4930
    • Carpenter, G.A.1    Grossberg, S.2
  • 35
    • 0023981451 scopus 로고
    • The ART of adaptive pattern recognition by a self-organizing neural network
    • Carpenter G.A., and Grossberg S. The ART of adaptive pattern recognition by a self-organizing neural network. Computer 21 (1988) 77-88
    • (1988) Computer , vol.21 , pp. 77-88
    • Carpenter, G.A.1    Grossberg, S.2
  • 36
    • 0025235219 scopus 로고
    • ART 3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures
    • Carpenter G.A., and Grossberg S. ART 3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures. Neural Networks 3 (1990) 129-152
    • (1990) Neural Networks , vol.3 , pp. 129-152
    • Carpenter, G.A.1    Grossberg, S.2
  • 37
    • 0026408256 scopus 로고
    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • Carpenter G., Grossberg S., and Rosen D.B. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4 (1991) 759-771
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.1    Grossberg, S.2    Rosen, D.B.3
  • 38
    • 0026679032 scopus 로고    scopus 로고
    • Carpenter, G., Grossberg, S., & Rosen, D.B. (1991b). ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition, Proc int joint conf neural netw, 2, (pp. 151-156) Also: Neural Netw 4: 493-504
    • Carpenter, G., Grossberg, S., & Rosen, D.B. (1991b). ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition, Proc int joint conf neural netw, vol. 2, (pp. 151-156) Also: Neural Netw 4: 493-504
  • 39
    • 0025889915 scopus 로고
    • ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
    • Carpenter G.A., Grossberg S., and Reynolds J.H. ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network. Neural Networks 4 5 (1991) 565-588
    • (1991) Neural Networks , vol.4 , Issue.5 , pp. 565-588
    • Carpenter, G.A.1    Grossberg, S.2    Reynolds, J.H.3
  • 41
    • 0032029156 scopus 로고    scopus 로고
    • ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
    • Carpenter G.A., and Markuzon N. ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases. Neural Networks 11 (1998) 323-336
    • (1998) Neural Networks , vol.11 , pp. 323-336
    • Carpenter, G.A.1    Markuzon, N.2
  • 42
    • 0029341754 scopus 로고
    • ART-EMAP: A neural network architecture for object recognition by evidence accumulation
    • Carpenter G.A., and Ross W.D. ART-EMAP: A neural network architecture for object recognition by evidence accumulation. IEEE Transactions on Neural Networks 6 4 (1995) 805-818
    • (1995) IEEE Transactions on Neural Networks , vol.6 , Issue.4 , pp. 805-818
    • Carpenter, G.A.1    Ross, W.D.2
  • 43
    • 0001626339 scopus 로고
    • A classification EM algorithm for clustering and two stochastic versions
    • Celeux G., and Govaert G. A classification EM algorithm for clustering and two stochastic versions. Computational Statistics and Data Analysis 14 (1992) 315-332
    • (1992) Computational Statistics and Data Analysis , vol.14 , pp. 315-332
    • Celeux, G.1    Govaert, G.2
  • 44
    • 0027693932 scopus 로고
    • Hybrid learning algorithm for Gaussian potential function networks
    • Chen C.L., Chen W.C., and Chang F.Y. Hybrid learning algorithm for Gaussian potential function networks. Proceedings of IEE-D 140 6 (1993) 442-448
    • (1993) Proceedings of IEE-D , vol.140 , Issue.6 , pp. 442-448
    • Chen, C.L.1    Chen, W.C.2    Chang, F.Y.3
  • 46
    • 0041328214 scopus 로고    scopus 로고
    • k*-Means: A new generalized k-means clustering algorithm
    • Cheung Y.M. k*-Means: A new generalized k-means clustering algorithm. Pattern Recognition Letters 24 (2003) 2883-2893
    • (2003) Pattern Recognition Letters , vol.24 , pp. 2883-2893
    • Cheung, Y.M.1
  • 47
    • 0041877699 scopus 로고    scopus 로고
    • A new kernel-based fuzzy clustering approach: Support vector clustering with cell growing
    • Chiang J., and Hao P. A new kernel-based fuzzy clustering approach: Support vector clustering with cell growing. IEEE Transactions on Fuzzy Systems 11 4 (2003) 518-527
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , Issue.4 , pp. 518-527
    • Chiang, J.1    Hao, P.2
  • 48
    • 0029196051 scopus 로고
    • Optimal adaptive k-means algorithm with dynamic adjustment of learning rate
    • Chinrunrueng C., and Sequin C.H. Optimal adaptive k-means algorithm with dynamic adjustment of learning rate. IEEE Transactions on Neural Networks 6 1 (1995) 157-169
    • (1995) IEEE Transactions on Neural Networks , vol.6 , Issue.1 , pp. 157-169
    • Chinrunrueng, C.1    Sequin, C.H.2
  • 49
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • Chiu S. Fuzzy model identification based on cluster estimation. Journal Intelligent and Fuzzy Systems 2 3 (1994) 267-278
    • (1994) Journal Intelligent and Fuzzy Systems , vol.2 , Issue.3 , pp. 267-278
    • Chiu, S.1
  • 50
    • 0028740132 scopus 로고
    • A cluster estimation method with extension to fuzzy model identification
    • Chiu, S.L. (1994b). A cluster estimation method with extension to fuzzy model identification. In Proc IEEE int conf fuzzy syst, vol. 2, (pp. 1240-1245)
    • (1994) Proc IEEE int conf fuzzy syst , vol.2 , pp. 1240-1245
    • Chiu, S.L.1
  • 52
    • 0032208399 scopus 로고    scopus 로고
    • A class of competitive learning models which avoids neuron underutilization problem
    • Choy C.S.T., and Siu W.C. A class of competitive learning models which avoids neuron underutilization problem. IEEE Transactions on Neural Networks 9 6 (1998) 1258-1269
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.6 , pp. 1258-1269
    • Choy, C.S.T.1    Siu, W.C.2
  • 53
    • 0001529228 scopus 로고    scopus 로고
    • Fast sequential implementation of neural-gas network for vector quantization
    • Choy C.S.T., and Siu W.C. Fast sequential implementation of neural-gas network for vector quantization. IEEE Transactions on Communications 46 3 (1998) 301-304
    • (1998) IEEE Transactions on Communications , vol.46 , Issue.3 , pp. 301-304
    • Choy, C.S.T.1    Siu, W.C.2
  • 54
    • 0024088955 scopus 로고
    • Cellular neural network-Part I: Theory; Part II: Applications
    • Chua L.O., and Yang L. Cellular neural network-Part I: Theory; Part II: Applications. IEEE Transaction on Circuits Systems 35 (1988) 1257-1290
    • (1988) IEEE Transaction on Circuits Systems , vol.35 , pp. 1257-1290
    • Chua, L.O.1    Yang, L.2
  • 55
    • 0028194778 scopus 로고
    • Fuzzy competitive learning
    • Chung F.L., and Lee T. Fuzzy competitive learning. Neural Networks 7 3 (1994) 539-551
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 539-551
    • Chung, F.L.1    Lee, T.2
  • 56
    • 19344368955 scopus 로고    scopus 로고
    • A comparison of kernel methods for instantiating case based reasoning systems
    • Corchado J., and Fyfe C. A comparison of kernel methods for instantiating case based reasoning systems. Computing and Information Systems 7 (2000) 29-42
    • (2000) Computing and Information Systems , vol.7 , pp. 29-42
    • Corchado, J.1    Fyfe, C.2
  • 57
    • 9144249823 scopus 로고    scopus 로고
    • SOM-based algorithms for qualitative variables
    • Cottrell M., Ibbou S., and Letremy P. SOM-based algorithms for qualitative variables. Neural Networks 17 (2004) 1149-1167
    • (2004) Neural Networks , vol.17 , pp. 1149-1167
    • Cottrell, M.1    Ibbou, S.2    Letremy, P.3
  • 58
    • 84972811713 scopus 로고
    • Fuzzy-shell clustering and applications to circle detection in digital images
    • Dave R.N. Fuzzy-shell clustering and applications to circle detection in digital images. International Journal of General Systems 16 (1990) 343-355
    • (1990) International Journal of General Systems , vol.16 , pp. 343-355
    • Dave, R.N.1
  • 59
    • 0000586827 scopus 로고
    • Characterization and detection of noise in clustering
    • Dave R.N. Characterization and detection of noise in clustering. Pattern Recognition Letters 12 (1991) 657-664
    • (1991) Pattern Recognition Letters , vol.12 , pp. 657-664
    • Dave, R.N.1
  • 61
    • 0036904021 scopus 로고    scopus 로고
    • Robust fuzzy clustering of relational data
    • Dave R.N., and Sen S. Robust fuzzy clustering of relational data. IEEE Transactions on Fuzzy Systems 10 6 (2002) 713-727
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.6 , pp. 713-727
    • Dave, R.N.1    Sen, S.2
  • 65
    • 3843131821 scopus 로고    scopus 로고
    • Codebook design in vector quantisation using a hybrid system of parallel simulated annealing and evolutionary selection
    • Delport V. Codebook design in vector quantisation using a hybrid system of parallel simulated annealing and evolutionary selection. Electronics Letters 32 13 (1996) 1158-1160
    • (1996) Electronics Letters , vol.32 , Issue.13 , pp. 1158-1160
    • Delport, V.1
  • 66
    • 0024123145 scopus 로고
    • Adding a conscience to competitive learning
    • Desieno, D. (1988). Adding a conscience to competitive learning. In Proc IEEE int conf neural netw, vol. 1 (pp. 117-124)
    • (1988) Proc IEEE int conf neural netw , vol.1 , pp. 117-124
    • Desieno, D.1
  • 70
    • 0016046280 scopus 로고
    • Some recent investigations of a new fuzzy partitioning algorithm and its applicatiopn to pattern classification problems
    • Dunn J.C. Some recent investigations of a new fuzzy partitioning algorithm and its applicatiopn to pattern classification problems. Journla of Cybernetics 4 (1974) 1-15
    • (1974) Journla of Cybernetics , vol.4 , pp. 1-15
    • Dunn, J.C.1
  • 72
    • 70649086498 scopus 로고    scopus 로고
    • Ester, M., Kriegel, H.P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc 2nd int conf knowledge discovery & data mining (KDD-96), (pp. 226-231)
    • Ester, M., Kriegel, H.P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc 2nd int conf knowledge discovery & data mining (KDD-96), (pp. 226-231)
  • 73
    • 0030288690 scopus 로고    scopus 로고
    • The World-Wide Web: Quagmire or gold mine?
    • Etzioni O. The World-Wide Web: Quagmire or gold mine?. Communications of the ACM 39 11 (1996) 65-68
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 65-68
    • Etzioni, O.1
  • 74
    • 0030273126 scopus 로고    scopus 로고
    • Self-organization in Kohonen's SOM
    • Flanagan J.A. Self-organization in Kohonen's SOM. Neural Networks 9 7 (1996) 1185-1197
    • (1996) Neural Networks , vol.9 , Issue.7 , pp. 1185-1197
    • Flanagan, J.A.1
  • 76
    • 0028748949 scopus 로고
    • Growing cell structures-A self-organizing neural networks for unsupervised and supvised learning
    • Fritzke B. Growing cell structures-A self-organizing neural networks for unsupervised and supvised learning. Neural Networks 7 9 (1994) 1441-1460
    • (1994) Neural Networks , vol.7 , Issue.9 , pp. 1441-1460
    • Fritzke, B.1
  • 77
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • Tesauro G., Touretzky D.S., and Leen T.K. (Eds), MIT Press, Cambridge, MA
    • Fritzke B. A growing neural gas network learns topologies. In: Tesauro G., Touretzky D.S., and Leen T.K. (Eds). Advances in neural information processing systems 7 (1995), MIT Press, Cambridge, MA 625-632
    • (1995) Advances in neural information processing systems , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 78
    • 33750126257 scopus 로고
    • Growing grid-A self-organizing network with constant neighborhood range and adaptation strength
    • Fritzke B. Growing grid-A self-organizing network with constant neighborhood range and adaptation strength. Neural Processing Letters 2 5 (1995) 9-13
    • (1995) Neural Processing Letters , vol.2 , Issue.5 , pp. 9-13
    • Fritzke, B.1
  • 79
    • 84956615237 scopus 로고    scopus 로고
    • A self-organizing network that can follow nonstationary distributions
    • Proc Int conf artificial neural netw, Lausanne, Switzerland. Gerstner W., Germond A., Hasler M., and Nicoud J.D. (Eds), Springer, Berlin
    • Fritzke B. A self-organizing network that can follow nonstationary distributions. In: Gerstner W., Germond A., Hasler M., and Nicoud J.D. (Eds). Proc Int conf artificial neural netw, Lausanne, Switzerland. LNCS vol. 1327 (1997), Springer, Berlin 613-618
    • (1997) LNCS , vol.1327 , pp. 613-618
    • Fritzke, B.1
  • 80
    • 0031069945 scopus 로고    scopus 로고
    • The LBG-U method for vector quantization-An improvement over LBG inspired from neural networks
    • Fritzke B. The LBG-U method for vector quantization-An improvement over LBG inspired from neural networks. Neural Processing Letters 5 1 (1997) 35-45
    • (1997) Neural Processing Letters , vol.5 , Issue.1 , pp. 35-45
    • Fritzke, B.1
  • 81
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • Fukushima K. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics 36 (1980) 193-202
    • (1980) Biological Cybernetics , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 82
    • 70649097682 scopus 로고    scopus 로고
    • An incremental network for on-line unsupervised classification and topology learning
    • in print
    • Furao, S., & Hasegawa, O. (2005). An incremental network for on-line unsupervised classification and topology learning. Neural Netw (in print)
    • (2005) Neural Netw
    • Furao, S.1    Hasegawa, O.2
  • 83
    • 0026369840 scopus 로고    scopus 로고
    • Gao, K., Ahmad, M.O., & Swamy, M.N.S. (1991). Nonlinear signal processing with self-organizing neural networks. In Proc IEEE int symp circuits syst, 3 (pp. 1404-1407)
    • Gao, K., Ahmad, M.O., & Swamy, M.N.S. (1991). Nonlinear signal processing with self-organizing neural networks. In Proc IEEE int symp circuits syst, vol. 3 (pp. 1404-1407)
  • 85
    • 0029342485 scopus 로고
    • Fuzzy clustering of elliptic ring-shaped clusters
    • Gath I., and Hoory D. Fuzzy clustering of elliptic ring-shaped clusters. Pattern Recognition Letters 16 (1995) 727-741
    • (1995) Pattern Recognition Letters , vol.16 , pp. 727-741
    • Gath, I.1    Hoory, D.2
  • 86
    • 0018491303 scopus 로고
    • Asymptotically optimal block quantization
    • Gersho A. Asymptotically optimal block quantization. IEEE Transactions on Information Theory 25 4 (1979) 373-380
    • (1979) IEEE Transactions on Information Theory , vol.25 , Issue.4 , pp. 373-380
    • Gersho, A.1
  • 87
    • 0033280284 scopus 로고    scopus 로고
    • Hierarchical unsupervised fuzzy clustering
    • Geva A.B. Hierarchical unsupervised fuzzy clustering. IEEE Transactions on Fuzzy Systems 7 6 (1999) 723-733
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.6 , pp. 723-733
    • Geva, A.B.1
  • 88
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel based clustering in feature space
    • Girolami M. Mercer kernel based clustering in feature space. IEEE Transactions on Neural Networks 13 3 (2002) 780-784
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 90
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recording: I. Parallel development and coding of neural feature detectors; II. Feedback, expectation, olfaction, and illusions
    • 187-202
    • Grossberg S. Adaptive pattern classification and universal recording: I. Parallel development and coding of neural feature detectors; II. Feedback, expectation, olfaction, and illusions. Biological Cybernetics 23 (1976) 121-134 187-202
    • (1976) Biological Cybernetics , vol.23 , pp. 121-134
    • Grossberg, S.1
  • 91
    • 5244352553 scopus 로고
    • Competitive learning: From iterative activation to adaptive resonance
    • Grossberg S. Competitive learning: From iterative activation to adaptive resonance. Cognitive Science 11 (1987) 23-63
    • (1987) Cognitive Science , vol.11 , pp. 23-63
    • Grossberg, S.1
  • 92
    • 0035279319 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • Guha S., Rastogi R., and Shim K. CURE: An efficient clustering algorithm for large databases. Information Systems 26 1 (2001) 35-58
    • (2001) Information Systems , vol.26 , Issue.1 , pp. 35-58
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 94
    • 0035008798 scopus 로고    scopus 로고
    • Life-long learning cell structures-Continuously learning without catastrophic interference
    • Hamker F.H. Life-long learning cell structures-Continuously learning without catastrophic interference. Neural Networks 14 (2001) 551-573
    • (2001) Neural Networks , vol.14 , pp. 551-573
    • Hamker, F.H.1
  • 96
    • 0028667335 scopus 로고
    • NERF c-means: Non-Euclidean re-lational fuzzy clustering
    • Hathaway R.J., and Bezdek J.C. NERF c-means: Non-Euclidean re-lational fuzzy clustering. Pattern Recognition 27 (1994) 429-437
    • (1994) Pattern Recognition , vol.27 , pp. 429-437
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 99
    • 2542616800 scopus 로고    scopus 로고
    • Modified ART 2A growing network capable of generating a fixed number of nodes
    • He J., Tan A.H., and Tan C.L. Modified ART 2A growing network capable of generating a fixed number of nodes. IEEE Transactions on Neural Networks 15 3 (2004) 728-737
    • (2004) IEEE Transactions on Neural Networks , vol.15 , Issue.3 , pp. 728-737
    • He, J.1    Tan, A.H.2    Tan, C.L.3
  • 100
    • 0031268101 scopus 로고    scopus 로고
    • Fuzzy shell clustering algorithms in image processing: Fuzzy C-rectangular and 2-rectangular shells
    • Hoeppner F. Fuzzy shell clustering algorithms in image processing: Fuzzy C-rectangular and 2-rectangular shells. IEEE Transactions on Fuzzy Systems 5 4 (1997) 599-613
    • (1997) IEEE Transactions on Fuzzy Systems , vol.5 , Issue.4 , pp. 599-613
    • Hoeppner, F.1
  • 101
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Science 79 (1982) 2554-2558
    • (1982) Proceedings of the National Academy of Science , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 103
    • 0029054009 scopus 로고
    • Adaptive Hamming net: A fast-learning ART 1 model without searching
    • Hung C., and Lin S. Adaptive Hamming net: A fast-learning ART 1 model without searching. Neural Networks 8 4 (1995) 605-618
    • (1995) Neural Networks , vol.8 , Issue.4 , pp. 605-618
    • Hung, C.1    Lin, S.2
  • 107
    • 0002160029 scopus 로고
    • Simplified fuzzy ARTMAP
    • Kasuba T. Simplified fuzzy ARTMAP. AI Expert 8 11 (1993) 18-25
    • (1993) AI Expert , vol.8 , Issue.11 , pp. 18-25
    • Kasuba, T.1
  • 108
    • 0031140630 scopus 로고    scopus 로고
    • A methodology for constructing fuzzy algorithms for learning vector quantization
    • Karayiannis N.B. A methodology for constructing fuzzy algorithms for learning vector quantization. IEEE Transactions on Neural Networks 8 3 (1997) 505-518
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 505-518
    • Karayiannis, N.B.1
  • 109
    • 0032594940 scopus 로고    scopus 로고
    • An axiomatic approach to soft learning vector quantization and clustering
    • Karayiannis N.B. An axiomatic approach to soft learning vector quantization and clustering. IEEE Transactions on Neural Networks 10 5 (1999) 1153-1165
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 1153-1165
    • Karayiannis, N.B.1
  • 110
    • 0031274467 scopus 로고    scopus 로고
    • An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering
    • Karayiannis N.B., and Bezdek J.C. An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering. IEEE Transactions on Fuzzy Systems 5 4 (1997) 622-628
    • (1997) IEEE Transactions on Fuzzy Systems , vol.5 , Issue.4 , pp. 622-628
    • Karayiannis, N.B.1    Bezdek, J.C.2
  • 113
    • 0031270611 scopus 로고    scopus 로고
    • Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques
    • Karayiannis N.B., and Mi G.W. Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques. IEEE Transactions on Neural Networks 8 6 (1997) 1492-1506
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.6 , pp. 1492-1506
    • Karayiannis, N.B.1    Mi, G.W.2
  • 114
    • 0037274338 scopus 로고    scopus 로고
    • Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: Multinorm algorithms
    • Karayiannis N.B., and Randolph-Gips M.M. Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: Multinorm algorithms. IEEE Transactions on Neural Networks 14 1 (2003) 89-102
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.1 , pp. 89-102
    • Karayiannis, N.B.1    Randolph-Gips, M.M.2
  • 115
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: Hierarchical clustering using dynamic modeling cover feature
    • Karypis G., Han E.H., and Kumar V. Chameleon: Hierarchical clustering using dynamic modeling cover feature. Computer 12 (1999) 68-75
    • (1999) Computer , vol.12 , pp. 68-75
    • Karypis, G.1    Han, E.H.2    Kumar, V.3
  • 116
    • 0036905922 scopus 로고    scopus 로고
    • Fuzzy clustering with volume prototypes and adaptive cluster merging
    • Kaymak U., and Setnes M. Fuzzy clustering with volume prototypes and adaptive cluster merging. IEEE Transactions on Fuzzy Systems 10 6 (2002) 705-712
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.6 , pp. 705-712
    • Kaymak, U.1    Setnes, M.2
  • 117
    • 0033281059 scopus 로고    scopus 로고
    • Fuzzy order statistics and their application to fuzzy clustering
    • Kersten P.R. Fuzzy order statistics and their application to fuzzy clustering. IEEE Transactions on Fuzzy Systems 7 6 (1999) 708-712
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.6 , pp. 708-712
    • Kersten, P.R.1
  • 119
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1982) 59-69
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 121
    • 0025489075 scopus 로고
    • The self-organizing map
    • Kohonen T. The self-organizing map. Proceedings of IEEE 78 (1990) 1464-1480
    • (1990) Proceedings of IEEE , vol.78 , pp. 1464-1480
    • Kohonen, T.1
  • 122
    • 0001380009 scopus 로고    scopus 로고
    • Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map
    • Kohonen T. Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map. Biological Cybernetics 75 (1996) 281-291
    • (1996) Biological Cybernetics , vol.75 , pp. 281-291
    • Kohonen, T.1
  • 124
    • 85132031017 scopus 로고
    • LVQPAK: A program package for the correct application of learning vector quantization algorithms
    • Kohonen, T., Kangas, J., Laaksonen, J., & Torkkola, K. (1992). LVQPAK: A program package for the correct application of learning vector quantization algorithms. In Proc int joint conf neural netw, vol. 1 (pp. 725-730)
    • (1992) Proc int joint conf neural netw , vol.1 , pp. 725-730
    • Kohonen, T.1    Kangas, J.2    Laaksonen, J.3    Torkkola, K.4
  • 125
  • 126
    • 0036531325 scopus 로고    scopus 로고
    • Reducing the time complexity of the fuzzy C-means algorithm
    • Kolen J., and Hutcheson T. Reducing the time complexity of the fuzzy C-means algorithm. IEEE Transactions on Fuzzy Systems 10 2 (2002) 263-267
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.2 , pp. 263-267
    • Kolen, J.1    Hutcheson, T.2
  • 131
  • 133
    • 0037534035 scopus 로고    scopus 로고
    • Towards a robust fuzzy clustering
    • Leski J. Towards a robust fuzzy clustering. Fuzzy Sets and Systems 137 (2003) 215-233
    • (2003) Fuzzy Sets and Systems , vol.137 , pp. 215-233
    • Leski, J.1
  • 134
    • 0346076777 scopus 로고    scopus 로고
    • Generalized weighted conditional fuzzy clustering
    • Leski J.M. Generalized weighted conditional fuzzy clustering. IEEE Transactions on Fuzzy Systems 11 6 (2003) 709-715
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , Issue.6 , pp. 709-715
    • Leski, J.M.1
  • 135
    • 0032639856 scopus 로고    scopus 로고
    • Fuzzy clustering using a compensated fuzzy Hopfield network
    • Lin J.S. Fuzzy clustering using a compensated fuzzy Hopfield network. Neural Processing Letters 10 (1999) 35-48
    • (1999) Neural Processing Letters , vol.10 , pp. 35-48
    • Lin, J.S.1
  • 136
    • 0030213049 scopus 로고    scopus 로고
    • A fuzzy Hopfield neural network for medical image segmentation
    • Lin J.S., Cheng K.S., and Mao C.W. A fuzzy Hopfield neural network for medical image segmentation. IEEE Transactions on Nuclear Sciences 43 4 (1996) 2389-2398
    • (1996) IEEE Transactions on Nuclear Sciences , vol.43 , Issue.4 , pp. 2389-2398
    • Lin, J.S.1    Cheng, K.S.2    Mao, C.W.3
  • 138
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippman R.P. An introduction to computing with neural nets. IEEE ASSP Magazine 4 2 (1987) 4-22
    • (1987) IEEE ASSP Magazine , vol.4 , Issue.2 , pp. 4-22
    • Lippman, R.P.1
  • 139
    • 0008965928 scopus 로고    scopus 로고
    • Soft-competitive learning paradigms
    • Liu Z.Q., and Miyamoto S. (Eds), Springer-Verlag, New York
    • Liu Z.Q., Glickman M., and Zhang Y.J. Soft-competitive learning paradigms. In: Liu Z.Q., and Miyamoto S. (Eds). Soft computing and human-centered machines (2000), Springer-Verlag, New York 131-161
    • (2000) Soft computing and human-centered machines , pp. 131-161
    • Liu, Z.Q.1    Glickman, M.2    Zhang, Y.J.3
  • 141
    • 0026043412 scopus 로고
    • On the rate of convergence in topology preserving neural networks
    • Lo Z.P., and Bavarian B. On the rate of convergence in topology preserving neural networks. Biological Cybernetics 65 (1991) 55-63
    • (1991) Biological Cybernetics , vol.65 , pp. 55-63
    • Lo, Z.P.1    Bavarian, B.2
  • 142
    • 0031620073 scopus 로고    scopus 로고
    • Learning with lotto-type competition
    • Luk, A., & Lien, S. (1998). Learning with lotto-type competition. In Proc int joint conf neural netw, vol. 2 (pp. 1143-1146)
    • (1998) Proc int joint conf neural netw , vol.2 , pp. 1143-1146
    • Luk, A.1    Lien, S.2
  • 143
    • 0033308107 scopus 로고    scopus 로고
    • Lotto-type competitive learning and its stability
    • Luk, A., & Lien, S. (1999). Lotto-type competitive learning and its stability. In: Proc int joint conf neural netw, vol. 2 (pp. 1425-1428)
    • (1999) Proc int joint conf neural netw , vol.2 , pp. 1425-1428
    • Luk, A.1    Lien, S.2
  • 144
    • 70649083509 scopus 로고    scopus 로고
    • MacQueen, J.B. (1967). Some methods for classification and analysis of multivariate observations. In Proc 5th Berkeley symp on math statistics and probability, Univ of California Press, Berkeley (pp. 281-297)
    • MacQueen, J.B. (1967). Some methods for classification and analysis of multivariate observations. In Proc 5th Berkeley symp on math statistics and probability, Univ of California Press, Berkeley (pp. 281-297)
  • 147
    • 0004787812 scopus 로고
    • An analog self-organizing neural network chip
    • Touretzky D.S. (Ed), Morgan Kaufmann, San Mateo, CA
    • Mann J.R., and Gilbert S. An analog self-organizing neural network chip. In: Touretzky D.S. (Ed). Advances in neural information processing systems vol. 1 (1989), Morgan Kaufmann, San Mateo, CA 739-747
    • (1989) Advances in neural information processing systems , vol.1 , pp. 739-747
    • Mann, J.R.1    Gilbert, S.2
  • 148
    • 0029752880 scopus 로고    scopus 로고
    • A self-organizing network for hyperellipsoidal clustering (HEC)
    • Mao J., and Jain A.K. A self-organizing network for hyperellipsoidal clustering (HEC). IEEE Transactions on Neural Networks 7 1 (1996) 16-29
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.1 , pp. 16-29
    • Mao, J.1    Jain, A.K.2
  • 149
    • 0001132486 scopus 로고
    • Competitive Hebbian learning rule forms perfectly topology preserving maps
    • Martinetz, T.M. (1993). Competitive Hebbian learning rule forms perfectly topology preserving maps. In Proc int conf artif neural netw (ICANN) (pp. 427-434)
    • (1993) Proc int conf artif neural netw (ICANN) , pp. 427-434
    • Martinetz, T.M.1
  • 150
    • 0027632248 scopus 로고
    • Neural-gas network for vector quantization and its application to time-series predictions
    • Martinetz T.M., Berkovich S.G., and Schulten K.J. Neural-gas network for vector quantization and its application to time-series predictions. IEEE Transactions on Neural Networks 4 4 (1993) 558-569
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.M.1    Berkovich, S.G.2    Schulten, K.J.3
  • 152
    • 0037679017 scopus 로고    scopus 로고
    • On the quality of ART1 text clustering
    • Massey L. On the quality of ART1 text clustering. Neural Networks 16 (2003) 771-778
    • (2003) Neural Networks , vol.16 , pp. 771-778
    • Massey, L.1
  • 154
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody J., and Darken C.J. Fast learning in networks of locally-tuned processing units. Neural Computation 1 2 (1989) 281-294
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 155
    • 0000473841 scopus 로고
    • ART and pattern clustering
    • Touretzky D., Hinton G., and Sejnowski T. (Eds), Morgan Kaufmann, San Mateo, CA
    • Moore B. ART and pattern clustering. In: Touretzky D., Hinton G., and Sejnowski T. (Eds). Proc 1988 connectionist model summer school (1988), Morgan Kaufmann, San Mateo, CA 174-183
    • (1988) Proc 1988 connectionist model summer school , pp. 174-183
    • Moore, B.1
  • 156
    • 0004617441 scopus 로고
    • Development and spatial structure of cortical feature maps: A model study
    • Lippmann R.P., Moody J.E., and Touretzky D.S. (Eds), Morgan Kaufmann, San Mateo, CA
    • Obermayer K., Ritter H., and Schulten K. Development and spatial structure of cortical feature maps: A model study. In: Lippmann R.P., Moody J.E., and Touretzky D.S. (Eds). Advances in neural information processing systems vol. 3 (1991), Morgan Kaufmann, San Mateo, CA 11-17
    • (1991) Advances in neural information processing systems , vol.3 , pp. 11-17
    • Obermayer, K.1    Ritter, H.2    Schulten, K.3
  • 157
    • 0031214181 scopus 로고    scopus 로고
    • Learning vector quantization with training count (LVQTC)
    • Odorico R. Learning vector quantization with training count (LVQTC). Neural Networks 10 6 (1997) 1083-1088
    • (1997) Neural Networks , vol.10 , Issue.6 , pp. 1083-1088
    • Odorico, R.1
  • 158
    • 0027634778 scopus 로고
    • Generalized clustering networks and Kohonen's self-organizing scheme
    • Pal N.R., Bezdek J.C., and Tsao E.C.K. Generalized clustering networks and Kohonen's self-organizing scheme. IEEE Transactions on Neural Networks 4 2 (1993) 549-557
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.2 , pp. 549-557
    • Pal, N.R.1    Bezdek, J.C.2    Tsao, E.C.K.3
  • 159
    • 0033747147 scopus 로고    scopus 로고
    • Mountain and subtractive clustering method: Improvements and generalizations
    • Pal N.R., and Chakraborty D. Mountain and subtractive clustering method: Improvements and generalizations. International Journal of Intelligent Systems 15 (2000) 329-341
    • (2000) International Journal of Intelligent Systems , vol.15 , pp. 329-341
    • Pal, N.R.1    Chakraborty, D.2
  • 160
    • 0034815902 scopus 로고    scopus 로고
    • The enhanced-LBG algorithm
    • Patane G., and Russo M. The enhanced-LBG algorithm. Neural Networks 14 (2001) 1219-1237
    • (2001) Neural Networks , vol.14 , pp. 1219-1237
    • Patane, G.1    Russo, M.2
  • 162
    • 0032122726 scopus 로고    scopus 로고
    • Conditional fuzzy clustering in the design of radial basis function neural networks
    • Pedrycz W. Conditional fuzzy clustering in the design of radial basis function neural networks. IEEE Transactions on Neural Networks 9 4 (1998) 601-612
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.4 , pp. 601-612
    • Pedrycz, W.1
  • 163
    • 0009848694 scopus 로고    scopus 로고
    • Connections between fuzzy theory, simulated annealing, and convex duality
    • Richardt J., Karl F., and Muller C. Connections between fuzzy theory, simulated annealing, and convex duality. Fuzzy Sets and Systems 96 (1998) 307-334
    • (1998) Fuzzy Sets and Systems , vol.96 , pp. 307-334
    • Richardt, J.1    Karl, F.2    Muller, C.3
  • 164
    • 0002129811 scopus 로고    scopus 로고
    • Self-organizing maps in non-Euclidean spaces
    • Oja E., and Kaski S. (Eds), Springer, Berlin
    • Ritter H. Self-organizing maps in non-Euclidean spaces. In: Oja E., and Kaski S. (Eds). Kohonen maps (1999), Springer, Berlin 97-108
    • (1999) Kohonen maps , pp. 97-108
    • Ritter, H.1
  • 165
    • 0032202775 scopus 로고    scopus 로고
    • Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
    • Rose K. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems. Proceedings of IEEE 86 11 (1998) 2210-2239
    • (1998) Proceedings of IEEE , vol.86 , Issue.11 , pp. 2210-2239
    • Rose, K.1
  • 166
    • 0025585402 scopus 로고
    • A deterministic annealing approach to clustering
    • Rose K., Gurewitz E., and Fox G.C. A deterministic annealing approach to clustering. Pattern Recognition Letters 11 9 (1990) 589-594
    • (1990) Pattern Recognition Letters , vol.11 , Issue.9 , pp. 589-594
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 167
    • 0033148429 scopus 로고    scopus 로고
    • Efficient training of neural gas vector quantizers with analog circuit implementation
    • Rovetta S., and Zunino R. Efficient training of neural gas vector quantizers with analog circuit implementation. IEEE Transactions on Circuits and Systems-II 46 6 (1999) 688-698
    • (1999) IEEE Transactions on Circuits and Systems-II , vol.46 , Issue.6 , pp. 688-698
    • Rovetta, S.1    Zunino, R.2
  • 169
    • 0002656190 scopus 로고
    • Feature discovery by competititve learning
    • Rumelhart D.E., and Zipser D. Feature discovery by competititve learning. Cognitive Science 9 (1985) 75-112
    • (1985) Cognitive Science , vol.9 , pp. 75-112
    • Rumelhart, D.E.1    Zipser, D.2
  • 170
    • 0032595185 scopus 로고    scopus 로고
    • Alternating cluster estimation: A new tool for clustering and function approximation
    • Runkler T.A., and Bezdek J.C. Alternating cluster estimation: A new tool for clustering and function approximation. IEEE Transactions on Fuzzy Systems 7 4 (1999) 377-393
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.4 , pp. 377-393
    • Runkler, T.A.1    Bezdek, J.C.2
  • 171
    • 85156210800 scopus 로고
    • Generalized learning vector quantization
    • Tesauro G., Touretzky D., and Leen T. (Eds), MIT Press, Cambridge, MA
    • Sato A., and Yamada K. Generalized learning vector quantization. In: Tesauro G., Touretzky D., and Leen T. (Eds). Advances in neural information processing systems vol. 7 (1995), MIT Press, Cambridge, MA 423-429
    • (1995) Advances in neural information processing systems , vol.7 , pp. 423-429
    • Sato, A.1    Yamada, K.2
  • 172
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf B., Smola A., and Muller K.R. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 174
    • 0030221432 scopus 로고    scopus 로고
    • A modified ART 1 algorithm more suitable for VLSI implementations
    • Serrano-Gotarredona T., and Linares-Barranco B. A modified ART 1 algorithm more suitable for VLSI implementations. Neural Networks 9 6 (1996) 1025-1043
    • (1996) Neural Networks , vol.9 , Issue.6 , pp. 1025-1043
    • Serrano-Gotarredona, T.1    Linares-Barranco, B.2
  • 175
    • 0026869462 scopus 로고
    • A new ART-based neural architecture for pattern classification and image enhancement without prior knowledge
    • Shih F.Y., Moh J., and Chang F.C. A new ART-based neural architecture for pattern classification and image enhancement without prior knowledge. Pattern Recognition 25 5 (1992) 533-542
    • (1992) Pattern Recognition , vol.25 , Issue.5 , pp. 533-542
    • Shih, F.Y.1    Moh, J.2    Chang, F.C.3
  • 176
    • 0026927202 scopus 로고
    • Fuzzy min-max neural networks-Part I. Classification
    • Simpson P.K. Fuzzy min-max neural networks-Part I. Classification. IEEE Transactions on Neural Networks 3 (1992) 776-786
    • (1992) IEEE Transactions on Neural Networks , vol.3 , pp. 776-786
    • Simpson, P.K.1
  • 177
    • 0027542561 scopus 로고
    • Fuzzy min-max neural networks-Part II: Clustering
    • Simpson P.K. Fuzzy min-max neural networks-Part II: Clustering. IEEE Transactions on Fuzzy Systems 1 1 (1993) 32-45
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , Issue.1 , pp. 32-45
    • Simpson, P.K.1
  • 178
    • 0032473640 scopus 로고    scopus 로고
    • Configuring RBF neural networks
    • Sohn I., and Ansari N. Configuring RBF neural networks. Electronics Letters 34 7 (1998) 684-685
    • (1998) Electronics Letters , vol.34 , Issue.7 , pp. 684-685
    • Sohn, I.1    Ansari, N.2
  • 179
    • 33745203522 scopus 로고    scopus 로고
    • Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering
    • in print
    • Staiano, A., Tagliaferri, R., & Pedrycz, W. (2006). Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. Neurocomputation (in print)
    • (2006) Neurocomputation
    • Staiano, A.1    Tagliaferri, R.2    Pedrycz, W.3
  • 180
  • 181
    • 0035365076 scopus 로고    scopus 로고
    • A modified version of the K-means algorithm with a distance based on cluster symmetry
    • Su M.C., and Chou C.H. A modified version of the K-means algorithm with a distance based on cluster symmetry. IEEE Transactions on Pattern Analysis and Machine Intelligence 23 6 (2001) 674-680
    • (2001) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.23 , Issue.6 , pp. 674-680
    • Su, M.C.1    Chou, C.H.2
  • 182
    • 24044500600 scopus 로고    scopus 로고
    • A new approach to clustering data with arbitrary shapes
    • Su M.C., and Liu Y.C. A new approach to clustering data with arbitrary shapes. Pattern Recognition 38 (2005) 1887-1901
    • (2005) Pattern Recognition , vol.38 , pp. 1887-1901
    • Su, M.C.1    Liu, Y.C.2
  • 188
  • 195
    • 0015749493 scopus 로고
    • Self-organizing of orientation sensitive cells in the striata cortex
    • von der Malsburg C. Self-organizing of orientation sensitive cells in the striata cortex. Kybernetik 14 (1973) 85-100
    • (1973) Kybernetik , vol.14 , pp. 85-100
    • von der Malsburg, C.1
  • 197
    • 0030198885 scopus 로고    scopus 로고
    • Gaussian ARTMAP: A neural network for fast incremental learning of noisy multidimensional maps
    • Williamson J. Gaussian ARTMAP: A neural network for fast incremental learning of noisy multidimensional maps. Neural Networks 9 5 (1996) 881-897
    • (1996) Neural Networks , vol.9 , Issue.5 , pp. 881-897
    • Williamson, J.1
  • 201
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
    • Xu L., Krzyzak A., and Oja E. Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Transactions on Neural Networks 4 4 (1993) 636-649
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.4 , pp. 636-649
    • Xu, L.1    Krzyzak, A.2    Oja, E.3
  • 203
    • 84974755191 scopus 로고
    • Generation of fuzzy rules by mountain clustering
    • Yager R., and Filev D. Generation of fuzzy rules by mountain clustering. Journal of Intelligent Fuzzy Systems 2 3 (1994) 209-219
    • (1994) Journal of Intelligent Fuzzy Systems , vol.2 , Issue.3 , pp. 209-219
    • Yager, R.1    Filev, D.2
  • 205
    • 0026821121 scopus 로고
    • Competitive learning and soft competition for vector quantizer design
    • Yair E., Zeger K., and Gersho A. Competitive learning and soft competition for vector quantizer design. IEEE Transactions on Signal Processing 40 2 (1992) 294-309
    • (1992) IEEE Transactions on Signal Processing , vol.40 , Issue.2 , pp. 294-309
    • Yair, E.1    Zeger, K.2    Gersho, A.3
  • 206
    • 0001641730 scopus 로고
    • On a class of fuzzy classification maximum likelihood procedures
    • Yang M.S. On a class of fuzzy classification maximum likelihood procedures. Fuzzy Sets and Systems 57 (1993) 365-375
    • (1993) Fuzzy Sets and Systems , vol.57 , pp. 365-375
    • Yang, M.S.1
  • 207
    • 0347409033 scopus 로고    scopus 로고
    • Competitive algorithms for the clustering of noisy data
    • Yang T.N., and Wang S.D. Competitive algorithms for the clustering of noisy data. Fuzzy Sets and Systems 141 (2004) 281-299
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 281-299
    • Yang, T.N.1    Wang, S.D.2
  • 208
    • 0032164161 scopus 로고    scopus 로고
    • A new k-winners-take-all neural network and its array architecture
    • Yen J.C., Guo J.I., and Chen H.C. A new k-winners-take-all neural network and its array architecture. IEEE Transactions on Neural Networks 9 5 (1998) 901-912
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.5 , pp. 901-912
    • Yen, J.C.1    Guo, J.I.2    Chen, H.C.3
  • 209
    • 14644432442 scopus 로고    scopus 로고
    • Optimality test for generalized FCM and its application to parameter selection
    • Yu J., and Yang M.S. Optimality test for generalized FCM and its application to parameter selection. IEEE Transactions on Fuzzy Systems 13 1 (2005) 164-176
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.1 , pp. 164-176
    • Yu, J.1    Yang, M.S.2
  • 210
    • 0014976008 scopus 로고
    • Graph-theoretical methods for detecting and describing gestalt clusters
    • Zahn C.T. Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Transactions on Computers 20 (1971) 68-86
    • (1971) IEEE Transactions on Computers , vol.20 , pp. 68-86
    • Zahn, C.T.1
  • 212
    • 0036506135 scopus 로고    scopus 로고
    • Self-splitting competitive learning: A new on-line clustering paradigm
    • Zhang Y.J., and Liu Z.Q. Self-splitting competitive learning: A new on-line clustering paradigm. IEEE Transactions on Neural Networks 13 2 (2002) 369-380
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 369-380
    • Zhang, Y.J.1    Liu, Z.Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.