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Volumn 41, Issue 8, 2008, Pages 2630-2644

Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure

Author keywords

Fuzzy clustering; Manifold learning; Prototyping; Spectral graph theory; Visual data mining

Indexed keywords

CONSTRAINT THEORY; DATA MINING; FUZZY CLUSTERING; GEOMETRY; GRAPH THEORY; SOFTWARE PROTOTYPING;

EID: 42749097658     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.02.005     Document Type: Article
Times cited : (16)

References (36)
  • 2
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B., de Silva V., and Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 290 5500 (2000) 2319-2323
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 3
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T., and Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 290 5500 (2000) 2323-2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 4
    • 31544473466 scopus 로고    scopus 로고
    • Incremental nonlinear dimensionality reduction by manifold learning
    • Law M.H., and Jain A.K. Incremental nonlinear dimensionality reduction by manifold learning. IEEE Trans. Pattern Anal. Mach. Intell. 28 3 (2006) 377-391
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.3 , pp. 377-391
    • Law, M.H.1    Jain, A.K.2
  • 5
    • 42749084149 scopus 로고    scopus 로고
    • M. Law, Manifold Learning Resource Page, available at 〈http://www.cse.msu.edu/∼lawhiu/manifold/〉.
    • M. Law, Manifold Learning Resource Page, available at 〈http://www.cse.msu.edu/∼lawhiu/manifold/〉.
  • 7
    • 42749084957 scopus 로고    scopus 로고
    • A. Ng, M. Jordan, Y. Weiss, On spectral clustering: analysis and an algorithm, in: NIPS, 2001.
    • A. Ng, M. Jordan, Y. Weiss, On spectral clustering: analysis and an algorithm, in: NIPS, 2001.
  • 8
    • 42749090318 scopus 로고    scopus 로고
    • L. Zelnik-Manor, P. Perona, Self-tuning spectral clustering, in: NIPS, 2004.
    • L. Zelnik-Manor, P. Perona, Self-tuning spectral clustering, in: NIPS, 2004.
  • 9
    • 42749093909 scopus 로고    scopus 로고
    • B. Fischer, V. Roth, J.M. Buhmann, Clustering with the connectivity kernel, in: NIPS, 2003.
    • B. Fischer, V. Roth, J.M. Buhmann, Clustering with the connectivity kernel, in: NIPS, 2003.
  • 10
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn J.C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. J. Cybernet. 3 3 (1974) 32-57
    • (1974) J. Cybernet. , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 11
    • 42749093113 scopus 로고    scopus 로고
    • J.C. Bezdek, Fuzzy mathematics in pattern classification, Ph.D. Dissertation, Cornell University, Ithaca, NY, 1973.
    • J.C. Bezdek, Fuzzy mathematics in pattern classification, Ph.D. Dissertation, Cornell University, Ithaca, NY, 1973.
  • 12
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • Bezdek J.C. Cluster validity with fuzzy sets. J. Cybernet. 3 (1974) 58-73
    • (1974) J. Cybernet. , vol.3 , pp. 58-73
    • Bezdek, J.C.1
  • 13
    • 0016206886 scopus 로고
    • Numerical taxonomy with fuzzy sets
    • Bezdek J.C. Numerical taxonomy with fuzzy sets. J. Math. Biol. 1 (1974) 57-71
    • (1974) J. Math. Biol. , vol.1 , pp. 57-71
    • Bezdek, J.C.1
  • 16
    • 34547434740 scopus 로고    scopus 로고
    • On fuzzy cluster validity indices
    • Wang W., and Zhang Y. On fuzzy cluster validity indices. Fuzzy Sets Syst. 158 (2007) 2095-2117
    • (2007) Fuzzy Sets Syst. , vol.158 , pp. 2095-2117
    • Wang, W.1    Zhang, Y.2
  • 17
    • 0036501653 scopus 로고    scopus 로고
    • Color image segmentation using fuzzy C-means and eigenspace projections
    • Yang J., Hao S., and Chung P. Color image segmentation using fuzzy C-means and eigenspace projections. Signal Process. 82 3 (2002) 461-472
    • (2002) Signal Process. , vol.82 , Issue.3 , pp. 461-472
    • Yang, J.1    Hao, S.2    Chung, P.3
  • 18
    • 3543098627 scopus 로고    scopus 로고
    • Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
    • Chen S., and Zhang D. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Syst. Man Cybern. A 34 4 (2004) 1907-1916
    • (2004) IEEE Trans. Syst. Man Cybern. A , vol.34 , Issue.4 , pp. 1907-1916
    • Chen, S.1    Zhang, D.2
  • 21
    • 0033281354 scopus 로고    scopus 로고
    • R. Krishnapuram, A. Joshi, Liyu Yi, A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering, in: Proceedings of the 1999 IEEE International Conference on Fuzzy Systems, vol. 3, 1999, pp. 1281-1286.
    • R. Krishnapuram, A. Joshi, Liyu Yi, A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering, in: Proceedings of the 1999 IEEE International Conference on Fuzzy Systems, vol. 3, 1999, pp. 1281-1286.
  • 23
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernalized fuzzy c-means algorithm with application in medical image segmentation
    • Zhang D.-Q., and Chen S.C. A novel kernalized fuzzy c-means algorithm with application in medical image segmentation. Artif. Intell. Med. 32 1 (2004) 37-50
    • (2004) Artif. Intell. Med. , vol.32 , Issue.1 , pp. 37-50
    • Zhang, D.-Q.1    Chen, S.C.2
  • 24
    • 33646393542 scopus 로고    scopus 로고
    • Geometric visualization of clusters obtained from fuzzy clustering algorithms
    • Rueda L., and Zhang Y. Geometric visualization of clusters obtained from fuzzy clustering algorithms. Pattern Recognition 39 8 (2006) 1415-1429
    • (2006) Pattern Recognition , vol.39 , Issue.8 , pp. 1415-1429
    • Rueda, L.1    Zhang, Y.2
  • 25
    • 0028204732 scopus 로고
    • Topology representing networks
    • Martinez T., and Schulten K. Topology representing networks. Neural Networks 7 3 (1994) 507-522
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 507-522
    • Martinez, T.1    Schulten, K.2
  • 26
    • 84911584312 scopus 로고
    • Shortest connection networks and some generalizations
    • Prim R.C. Shortest connection networks and some generalizations. Bell Syst. Tech. J. 36 (1957) 1389-1401
    • (1957) Bell Syst. Tech. J. , vol.36 , pp. 1389-1401
    • Prim, R.C.1
  • 27
    • 0001562062 scopus 로고
    • Graphics for the multivariate two-sample problem
    • Friedman J., and Rafsky L. Graphics for the multivariate two-sample problem. J. Am. Stat. Assoc. 76 (1981) 277-287
    • (1981) J. Am. Stat. Assoc. , vol.76 , pp. 277-287
    • Friedman, J.1    Rafsky, L.2
  • 28
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin M., and Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput. 15 6 (2003) 1373-1396
    • (2003) Neural Comput. , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 29
    • 42749086344 scopus 로고    scopus 로고
    • Y. Guo, J. Gao, Paul Kwan, Kernel Laplacian eigenmaps for visualization of non-vectorial data, in: Proceedings of the 19th ACS Australian Joint Conference on Artificial Intelligence (AI 2006), Hobart, TAS, Australia, 2006, pp. 1179-1183.
    • Y. Guo, J. Gao, Paul Kwan, Kernel Laplacian eigenmaps for visualization of non-vectorial data, in: Proceedings of the 19th ACS Australian Joint Conference on Artificial Intelligence (AI 2006), Hobart, TAS, Australia, 2006, pp. 1179-1183.
  • 30
    • 42749094149 scopus 로고    scopus 로고
    • X. He, P. Niyogi, Locality preserving projections, in: NIPS, 2003.
    • X. He, P. Niyogi, Locality preserving projections, in: NIPS, 2003.
  • 31
    • 0142106308 scopus 로고    scopus 로고
    • Single-trial variability in early visual neuromagnetic responses: an explorative study based on the regional activation contributing to the N70m peak
    • Laskaris N., Liu L.C., and Ioannides A.A. Single-trial variability in early visual neuromagnetic responses: an explorative study based on the regional activation contributing to the N70m peak. Neuroimage 20 2 (2003) 765-783
    • (2003) Neuroimage , vol.20 , Issue.2 , pp. 765-783
    • Laskaris, N.1    Liu, L.C.2    Ioannides, A.A.3
  • 32
    • 0038348981 scopus 로고    scopus 로고
    • Attractor dynamics of network UP states in the neocortex
    • Cossart R., Aronov D., and Yuste R. Attractor dynamics of network UP states in the neocortex. Nature 423 (2003) 283-288
    • (2003) Nature , vol.423 , pp. 283-288
    • Cossart, R.1    Aronov, D.2    Yuste, R.3
  • 33
    • 0037172724 scopus 로고    scopus 로고
    • A prediction-based resampling method for estimating the number of clusters in a dataset
    • Dudoit S., and Fridlyand J. A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biol. 3 7 (2002) 0036.1-0036.21
    • (2002) Genome Biol. , vol.3 , Issue.7
    • Dudoit, S.1    Fridlyand, J.2
  • 34
    • 33745422982 scopus 로고    scopus 로고
    • Fast multi scale clustering and manifold identification
    • Kushnir D., Galun M., and Brandt A. Fast multi scale clustering and manifold identification. Pattern Recognition 39 10 (2006) 1876-1891
    • (2006) Pattern Recognition , vol.39 , Issue.10 , pp. 1876-1891
    • Kushnir, D.1    Galun, M.2    Brandt, A.3
  • 35
    • 80051580482 scopus 로고    scopus 로고
    • K. Tasdemir, E. Merényi, Data topology visualization for the self-organizing map, in: Proceedings of the European Symposium on Artificial Neural Networks (ESANN'2006), Bruges, Belgium, 2006, pp. 277-282.
    • K. Tasdemir, E. Merényi, Data topology visualization for the self-organizing map, in: Proceedings of the European Symposium on Artificial Neural Networks (ESANN'2006), Bruges, Belgium, 2006, pp. 277-282.
  • 36
    • 84899002783 scopus 로고    scopus 로고
    • T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. Griffiths, J. Tenenbaum, Parametric embedding for class visualization, in: NIPS, 2005.
    • T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. Griffiths, J. Tenenbaum, Parametric embedding for class visualization, in: NIPS, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.