메뉴 건너뛰기




Volumn 11, Issue 3, 2000, Pages 586-600

Clustering of the self-organizing map

Author keywords

[No Author keywords available]

Indexed keywords

EXPLORATORY DATA ANALYSIS; HIERARCHICAL AGGLOMERATE CLUSTERING; PARTITIVE CLUSTERING; SELF ORGANIZING MAP;

EID: 0034187784     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.846731     Document Type: Article
Times cited : (2117)

References (49)
  • 2
    • 0003410791 scopus 로고
    • Berlin/Heidelberg, Germany: Springer
    • T. Kohonen, Self-Organizing Maps. Berlin/Heidelberg, Germany: Springer, 1995, vol. 30.
    • (1995) Self-Organizing Maps , vol.30
    • Kohonen, T.1
  • 3
    • 38049168357 scopus 로고    scopus 로고
    • SOM-based data visualization methods
    • J. Vesanto, "SOM-based data visualization methods," Intell. Data Anal., vol. 3, no. 2, pp. 111-126, 1999.
    • (1999) Intell. Data Anal. , vol.3 , Issue.2 , pp. 111-126
    • Vesanto, J.1
  • 6
    • 0032098774 scopus 로고    scopus 로고
    • Some new indexes of cluster validity
    • J. C. Bezdek, "Some new indexes of cluster validity," IEEE Trans. Syst., Man, Cybern. B, vol. 28, pp. 301-315, 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. B , vol.28 , pp. 301-315
    • Bezdek, J.C.1
  • 7
    • 0000521616 scopus 로고    scopus 로고
    • Superparamagnetic clustering of data
    • M. Blatt, S. Wiseman, and E. Domany, "Superparamagnetic clustering of data," Phys. Rev. Lett., vol. 76, no. 18, pp. 3251-3254, 1996.
    • (1996) Phys. Rev. Lett. , vol.76 , Issue.18 , pp. 3251-3254
    • Blatt, M.1    Wiseman, S.2    Domany, E.3
  • 8
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: Hierarchical clustering using dynamic modeling
    • Aug.
    • G. Karypis, E.-H. Han, and V. Kumar, "Chameleon: Hierarchical clustering using dynamic modeling," IEEE Comput., vol. 32, pp. 68-74, Aug. 1999.
    • (1999) IEEE Comput. , vol.32 , pp. 68-74
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 9
    • 0001153915 scopus 로고
    • Clustering properties of hierarchical self-organizing maps
    • Nov.
    • J. Lampinen and E. Oja, "Clustering properties of hierarchical self-organizing maps," J. Math. Imag. Vis., vol. 2, no. 2-3, pp. 261-272, Nov. 1992.
    • (1992) J. Math. Imag. Vis. , vol.2 , Issue.2-3 , pp. 261-272
    • Lampinen, J.1    Oja, E.2
  • 10
    • 0013342241 scopus 로고    scopus 로고
    • Interactive interpretation of hierarchical clustering
    • E. Boudaillier and G. Hebrail, "Interactive interpretation of hierarchical clustering," Intell. Data Anal., vol. 2, no. 3, 1998.
    • (1998) Intell. Data Anal. , vol.2 , Issue.3
    • Boudaillier, E.1    Hebrail, G.2
  • 11
    • 0009055376 scopus 로고
    • Complexity optimized data clustering by competitive neural networks
    • May
    • J. Buhmann and H. Kühnel, "Complexity optimized data clustering by competitive neural networks," Neural Comput., vol. 5, no. 3, pp. 75-88, May 1993.
    • (1993) Neural Comput. , vol.5 , Issue.3 , pp. 75-88
    • Buhmann, J.1    Kühnel, H.2
  • 12
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • June
    • G. W. Milligan and M. C. Cooper, "An examination of procedures for determining the number of clusters in a data set," Psychometrika, vol. 50, no. 2, pp. 159-179, June 1985.
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 15
    • 0000012516 scopus 로고
    • Clustering of socio-economic data with Kohonen rasps
    • A. Varfis and C. Versino, "Clustering of socio-economic data with Kohonen rasps," Neural Network World, vol. 2, no. 6, pp. 813-834, 1992.
    • (1992) Neural Network World , vol.2 , Issue.6 , pp. 813-834
    • Varfis, A.1    Versino, C.2
  • 16
    • 0030572617 scopus 로고    scopus 로고
    • A comparison of SOM neural network and hierarchical clustering methods
    • Sept.
    • P. Mangiameli, S. K. Chen, and D. West, "A comparison of SOM neural network and hierarchical clustering methods," Eur. J. Oper. Res., vol. 93, no. 2, Sept. 1996.
    • (1996) Eur. J. Oper. Res. , vol.93 , Issue.2
    • Mangiameli, P.1    Chen, S.K.2    West, D.3
  • 17
    • 0003023542 scopus 로고
    • Self-organizing maps: Optimization approaches
    • T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam, The Netherlands: Elsevier
    • T. Kohonen, "Self-organizing maps: Optimization approaches," in Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam, The Netherlands: Elsevier, 1991, pp. 981-990.
    • (1991) Artificial Neural Networks , pp. 981-990
    • Kohonen, T.1
  • 18
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody and C. J. Darken, "Fast learning in networks of locally-tuned processing units," Neural Comput., vol. 1, no. 2, pp. 281-294, 1989.
    • (1989) Neural Comput. , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 20
    • 0000742931 scopus 로고
    • A "neural-gas" network learns topologies
    • T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam, The Netherlands: Elsevier
    • T. Martinez and K. Schulten, "A "neural-gas" network learns topologies," in Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam, The Netherlands: Elsevier, 1991, pp. 397-402.
    • (1991) Artificial Neural Networks , pp. 397-402
    • Martinez, T.1    Schulten, K.2
  • 21
    • 0000445995 scopus 로고
    • Let it grow - Self-organizing feature maps with problem dependent cell structure
    • T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam, The Netherlands: Elsevier
    • B. Fritzke, "Let it grow - Self-organizing feature maps with problem dependent cell structure," in Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam, The Netherlands: Elsevier, 1991, pp. 403-408.
    • (1991) Artificial Neural Networks , pp. 403-408
    • Fritzke, B.1
  • 22
    • 0042474504 scopus 로고
    • Clustering with competing self-organizing maps
    • Y. Cheng, "Clustering with competing self-organizing maps," in Proc. Int. Conf. Neural Networks, vol. 4, 1992, pp. 785-790.
    • (1992) Proc. Int. Conf. Neural Networks , vol.4 , pp. 785-790
    • Cheng, Y.1
  • 23
    • 33750126257 scopus 로고
    • Growing grid - A self-organizing network with constant neighborhood range and adaptation strength
    • B. Fritzke, "Growing grid - A self-organizing network with constant neighborhood range and adaptation strength," Neural Process. Lett., vol. 2, no. 5, pp. 9-13, 1995.
    • (1995) Neural Process. Lett. , vol.2 , Issue.5 , pp. 9-13
    • Fritzke, B.1
  • 24
    • 0037749691 scopus 로고
    • Visualizing high-dimensional structure with the incremental grid growing neural network
    • A. Prieditis and S. Russell, Eds.
    • J. Blackmore and R. Miikkulainen, "Visualizing high-dimensional structure with the incremental grid growing neural network," in Proc. 12th Int. Conf. Machine Learning, A. Prieditis and S. Russell, Eds., 1995, pp. 55-63.
    • (1995) Proc. 12th Int. Conf. Machine Learning , pp. 55-63
    • Blackmore, J.1    Miikkulainen, R.2
  • 25
    • 30344485085 scopus 로고
    • A neural network which adapts its stucture to a given set of patterns
    • R. Eckmiller, G. Hartmann, and G. Hauske, Eds. Amsterdam, The Netherlands: Elsevier
    • S. Jockusch, "A neural network which adapts its stucture to a given set of patterns," in Parallel Processing in Neural Systems and Computers, R. Eckmiller, G. Hartmann, and G. Hauske, Eds. Amsterdam, The Netherlands: Elsevier, 1990, pp. 169-172.
    • (1990) Parallel Processing in Neural Systems and Computers , pp. 169-172
    • Jockusch, S.1
  • 26
    • 0002639269 scopus 로고
    • Improving the learning speed in topological maps of pattern
    • J. S. Rodrigues and L. B. Almeida, "Improving the learning speed in topological maps of pattern," in Proc. Int. Neural Network Conf., 1990, pp. 813-816.
    • (1990) Proc. Int. Neural Network Conf. , pp. 813-816
    • Rodrigues, J.S.1    Almeida, L.B.2
  • 27
    • 3142689230 scopus 로고    scopus 로고
    • Knowledge discovery with supervised and unsupervised self evolving neural networks
    • T. Yamakawa and G. Matsumoto, Eds.
    • D. Alahakoon and S. K. Halgamuge, "Knowledge discovery with supervised and unsupervised self evolving neural networks," in Proc. Fifth Int. Conf. Soft Comput. Inform./Intell. Syst., T. Yamakawa and G. Matsumoto, Eds., 1998, pp. 907-910.
    • (1998) Proc. Fifth Int. Conf. Soft Comput. Inform./Intell. Syst. , pp. 907-910
    • Alahakoon, D.1    Halgamuge, S.K.2
  • 28
    • 0018491303 scopus 로고
    • Asymptotically optimal block quantization
    • July
    • A. Gersho, "Asymptotically optimal block quantization," IEEE Trans. Inform. Theory, vol. IT-25, pp. 373-380, July 1979.
    • (1979) IEEE Trans. Inform. Theory , vol.IT-25 , pp. 373-380
    • Gersho, A.1
  • 29
    • 0020100081 scopus 로고
    • Asymptotic quantization error of continuous signals and the quantization dimension
    • Mar.
    • P. L. Zador, "Asymptotic quantization error of continuous signals and the quantization dimension," IEEE Trans. Inform. Theory, vol. IT-28, pp. 139-149, Mar. 1982.
    • (1982) IEEE Trans. Inform. Theory , vol.28 , pp. 139-149
    • Zador, P.L.1
  • 30
    • 0025838954 scopus 로고
    • Asymptotic level density for a class of vector quantization processes
    • Jan.
    • H. Ritter, "Asymptotic level density for a class of vector quantization processes," IEEE Trans. Neural Networks, vol. 2, pp. 173-175, Jan. 1991.
    • (1991) IEEE Trans. Neural Networks , vol.2 , pp. 173-175
    • Ritter, H.1
  • 31
    • 0033570792 scopus 로고    scopus 로고
    • Comparison of SOM point densities based on different criteria
    • T. Kohonen, "Comparison of SOM point densities based on different criteria," Neural Comput., vol. 11, pp. 2171-2185, 1999.
    • (1999) Neural Comput. , vol.11 , pp. 2171-2185
    • Kohonen, T.1
  • 32
    • 22844454762 scopus 로고    scopus 로고
    • A scalable parallel algorithm for self-organizing maps with applications to sparse data problems
    • June
    • R. D. Lawrence, G. S. Almasi, and H. E. Rushmeier, "A scalable parallel algorithm for self-organizing maps with applications to sparse data problems," Data Mining Knowl. Discovery, vol. 3, no. 2, pp. 171-195, June 1999.
    • (1999) Data Mining Knowl. Discovery , vol.3 , Issue.2 , pp. 171-195
    • Lawrence, R.D.1    Almasi, G.S.2    Rushmeier, H.E.3
  • 35
    • 0002432308 scopus 로고
    • Kohonen's self organizing feature maps for exploratory data analysis
    • Dordrecht, The Netherlands
    • A. Ultsch and H. P. Siemon, "Kohonen's self organizing feature maps for exploratory data analysis," in Proc. Int. Neural Network Conf. Dordrecht, The Netherlands, 1990, pp. 305-308.
    • (1990) Proc. Int. Neural Network Conf. , pp. 305-308
    • Ultsch, A.1    Siemon, H.P.2
  • 36
    • 0029307137 scopus 로고
    • A nonlinear projection method based on Kohonen's topology preserving maps
    • May
    • M. A. Kraaijveld, J. Mao, and A. K. Jain, "A nonlinear projection method based on Kohonen's topology preserving maps," IEEE Trans. Neural Networks, vol. 6, pp. 548-559, May 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 548-559
    • Kraaijveld, M.A.1    Mao, J.2    Jain, A.K.3
  • 37
    • 0010543609 scopus 로고
    • Visualizing the clusters on the self-organizing map
    • C. Carlsson, T. Järvi, and T. Reponen, Eds. Helsinki, Finland
    • J. Iivarinen, T. Kohonen, J. Kangas, and S. Kaski, "Visualizing the clusters on the self-organizing map," in Proc. Conf. Artificial Intell. Res. Finland, C. Carlsson, T. Järvi, and T. Reponen, Eds. Helsinki, Finland, 1994, pp. 122-126.
    • (1994) Proc. Conf. Artificial Intell. Res. Finland , pp. 122-126
    • Iivarinen, J.1    Kohonen, T.2    Kangas, J.3    Kaski, S.4
  • 38
    • 0027805894 scopus 로고
    • Self-organizing map as a new method for clustering and data analysis
    • X. Zhang and Y. Li, "Self-organizing map as a new method for clustering and data analysis," in Proc. Int. Joint Conf. Neural Networks, 1993, pp. 2448-2451.
    • (1993) Proc. Int. Joint Conf. Neural Networks , pp. 2448-2451
    • Zhang, X.1    Li, Y.2
  • 39
    • 0041654220 scopus 로고
    • Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
    • Mar.
    • J. B. Kruskal, "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, vol. 29, no. 1, pp. 1-27, Mar. 1964.
    • (1964) Psychometrika , vol.29 , Issue.1 , pp. 1-27
    • Kruskal, J.B.1
  • 40
    • 24944533365 scopus 로고
    • Nonmetric multidimensional scaling: A numerical method
    • June
    • _, "Nonmetric multidimensional scaling: A numerical method," Psychometrika, vol. 29, no. 2, pp. 115-129, June 1964.
    • (1964) Psychometrika , vol.29 , Issue.2 , pp. 115-129
  • 41
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • May
    • J. W. Sammon, Jr., "A nonlinear mapping for data structure analysis," IEEE Trans. Comput., vol. C-18, pp. 401-409, May 1969.
    • (1969) IEEE Trans. Comput. , vol.C-18 , pp. 401-409
    • Sammon Jr., J.W.1
  • 42
    • 0030736375 scopus 로고    scopus 로고
    • Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets
    • Jan.
    • P. Demartines and J. Hérault, "Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets," IEEE Trans. Neural Networks, vol. 8, pp. 148-154, Jan. 1997.
    • (1997) IEEE Trans. Neural Networks , vol.8 , pp. 148-154
    • Demartines, P.1    Hérault, J.2
  • 43
    • 33749922052 scopus 로고
    • On the use of two traditional statistical techniques to improve the readability of Kohonen Maps
    • A. Varfis, "On the use of two traditional statistical techniques to improve the readability of Kohonen Maps," in Proc. NATO ASI Workshop Statistics Neural Networks, 1993.
    • (1993) Proc. NATO ASI Workshop Statistics Neural Networks
    • Varfis, A.1
  • 45
    • 0029288718 scopus 로고
    • Interpreting the Kohonen self-organizing map using contiguity-constrained clustering
    • F. Murtagh, "Interpreting the Kohonen self-organizing map using contiguity-constrained clustering," Patt. Recognit. Lett., vol. 16, pp. 399-408, 1995.
    • (1995) Patt. Recognit. Lett. , vol.16 , pp. 399-408
    • Murtagh, F.1
  • 49
    • 0000787409 scopus 로고    scopus 로고
    • Phase transitions in stochastic self-organizing maps
    • T. Graepel, M. Burger, and K. Obermayer, "Phase transitions in stochastic self-organizing maps," Phys. Rev. E, vol. 56, pp. 3876-3890, 1997.
    • (1997) Phys. Rev. E , vol.56 , pp. 3876-3890
    • Graepel, T.1    Burger, M.2    Obermayer, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.