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Volumn 29, Issue 2, 2008, Pages 97-108

Validation criteria for enhanced fuzzy clustering

Author keywords

Cluster validity index; Fuzzy clustering; Fuzzy functions; Supervised clustering

Indexed keywords

CLUSTERING ALGORITHMS; DATA STRUCTURES; DECISION MAKING; PATTERN MATCHING; REGRESSION ANALYSIS;

EID: 36148971216     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.08.017     Document Type: Article
Times cited : (38)

References (24)
  • 1
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • Bezdek J.C. Cluster validity with fuzzy sets. J. Cybernetics 3 (1976) 58-72
    • (1976) J. Cybernetics , vol.3 , pp. 58-72
    • Bezdek, J.C.1
  • 3
    • 33745841541 scopus 로고    scopus 로고
    • An objective approach to cluster validation
    • Bouguessa M., Wang S., and Sun H. An objective approach to cluster validation. Pattern Recognition Lett. 27 (2006) 1419-1430
    • (2006) Pattern Recognition Lett. , vol.27 , pp. 1419-1430
    • Bouguessa, M.1    Wang, S.2    Sun, H.3
  • 4
    • 34548626636 scopus 로고    scopus 로고
    • Fuzzy functions with support vector machines
    • Celikyilmaz A., and Türkşen I.B. Fuzzy functions with support vector machines. Inform. Sciences 177 (2007) 5163-5177
    • (2007) Inform. Sciences , vol.177 , pp. 5163-5177
    • Celikyilmaz, A.1    Türkşen, I.B.2
  • 5
    • 36148991516 scopus 로고    scopus 로고
    • Celikyilmaz, A., Türkşen, I.B., in press. Enhanced fuzzy system models with improved fuzzy clustering algorithm. IEEE Trans. Fuzzy Systems.
  • 6
    • 36148940334 scopus 로고    scopus 로고
    • Celikyilmaz, A., Türkşen, I.B., submitted for publication. Increasing accuracy of two-class pattern recognition with enhanced fuzzy functions. Expert Systems Appl.
  • 7
    • 33746955639 scopus 로고    scopus 로고
    • A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using TS system
    • Cimino M.G.C.A., Lazzerini B., and Marcelloni F. A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using TS system. Pattern Recognition 39 (2006) 2077-2091
    • (2006) Pattern Recognition , vol.39 , pp. 2077-2091
    • Cimino, M.G.C.A.1    Lazzerini, B.2    Marcelloni, F.3
  • 8
    • 0030141444 scopus 로고    scopus 로고
    • Validating fuzzy partition obtained through C-shells clustering
    • Dave R.N. Validating fuzzy partition obtained through C-shells clustering. Pattern Recognition Lett. 17 (1996) 613-623
    • (1996) Pattern Recognition Lett. , vol.17 , pp. 613-623
    • Dave, R.N.1
  • 9
    • 36148986151 scopus 로고    scopus 로고
    • Fukuyama, Y., Sugeno, M., 1989. A new method of choosing the number of clusters for the fuzzy C-means method. In: Proc. 5th Fuzzy Systems Symposium, pp. 247-250.
  • 10
    • 0027647031 scopus 로고
    • Switching regression models and fuzzy clustering
    • Hathaway R.J., and Bezdek J.C. Switching regression models and fuzzy clustering. IEEE Trans. Fuzzy Systems 1 3 (1993) 195-203
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.3 , pp. 195-203
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 11
    • 36148952975 scopus 로고    scopus 로고
    • Hettich, S., Bay, S.D., 1999. The UCI KDD Archive []. Department of Information and Computer Science, University of California, Irvine, CA.
  • 12
    • 0037308031 scopus 로고    scopus 로고
    • Improved fuzzy partitions for fuzzy regression models
    • Höppner F., and Klawonn F. Improved fuzzy partitions for fuzzy regression models. Internat. J. Approx. Reason. 32 (2003) 85-102
    • (2003) Internat. J. Approx. Reason. , vol.32 , pp. 85-102
    • Höppner, F.1    Klawonn, F.2
  • 13
    • 25844500444 scopus 로고    scopus 로고
    • New indices for cluster validity assessment
    • Kim M., and Ramakrishna R.S. New indices for cluster validity assessment. Pattern Recognition Lett. 26 (2005) 2353-2363
    • (2005) Pattern Recognition Lett. , vol.26 , pp. 2353-2363
    • Kim, M.1    Ramakrishna, R.S.2
  • 14
    • 0042377400 scopus 로고    scopus 로고
    • Fuzzy cluster validation index based on inter-cluster proximity
    • Kim D.-W., Lee K.H., and Lee D. Fuzzy cluster validation index based on inter-cluster proximity. Pattern Recognition Lett. 24 (2003) 2561-2574
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 2561-2574
    • Kim, D.-W.1    Lee, K.H.2    Lee, D.3
  • 15
    • 0036458360 scopus 로고    scopus 로고
    • Fuzzy C-regression model with a new cluster validity criterion
    • Kung C.-C., and Lin C.-C. Fuzzy C-regression model with a new cluster validity criterion. IEEE World Congr. Comput. Intell. 2 (2002) 499-504
    • (2002) IEEE World Congr. Comput. Intell. , vol.2 , pp. 499-504
    • Kung, C.-C.1    Lin, C.-C.2
  • 16
    • 11144286030 scopus 로고    scopus 로고
    • Kung, C.-C., Lin, C.-C., 2004. A new cluster validity criterion for fuzzy C-regression model and its application to T-S fuzzy model identification. Proc. IEEE Internat. Conf. on Fuzzy Systems, vol. 3. pp. 1673-1678.
  • 17
    • 0029360028 scopus 로고
    • On cluster validity for fuzzy C-means model
    • Pal N.K., and Bezdek J.C. On cluster validity for fuzzy C-means model. IEEE Trans. Fuzzy Systems 3 3 (1995) 370-379
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.3 , pp. 370-379
    • Pal, N.K.1    Bezdek, J.C.2
  • 18
    • 0442312343 scopus 로고    scopus 로고
    • Fuzzy clustering with knowledge-based guidance
    • Pedrycz W. Fuzzy clustering with knowledge-based guidance. Pattern Recognition Lett. 25 4 (2004) 469-480
    • (2004) Pattern Recognition Lett. , vol.25 , Issue.4 , pp. 469-480
    • Pedrycz, W.1
  • 19
    • 36148988864 scopus 로고    scopus 로고
    • Türkşen, I.B., in press. Fuzzy functions with LSE. Appl Soft Comput.
  • 20
    • 33750914661 scopus 로고    scopus 로고
    • Comparison of fuzzy functions with fuzzy rule base approaches
    • Türkşen I.B., and Celikyilmaz A. Comparison of fuzzy functions with fuzzy rule base approaches. Internat. J. Fuzzy Systems (IJFS) 8 3 (2006) 137-149
    • (2006) Internat. J. Fuzzy Systems (IJFS) , vol.8 , Issue.3 , pp. 137-149
    • Türkşen, I.B.1    Celikyilmaz, A.2
  • 21
    • 18444403761 scopus 로고    scopus 로고
    • A cluster validity index for fuzzy clustering
    • Wu K.-L., and Yang M.-S. A cluster validity index for fuzzy clustering. Pattern Recognition Lett. 26 9 (2005) 1275-1291
    • (2005) Pattern Recognition Lett. , vol.26 , Issue.9 , pp. 1275-1291
    • Wu, K.-L.1    Yang, M.-S.2
  • 22
    • 14644429109 scopus 로고    scopus 로고
    • A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests
    • Wu K.-L., Yu J., and Yang M.-S. A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests. Pattern Recognition Lett. 26 5 (2005) 639-652
    • (2005) Pattern Recognition Lett. , vol.26 , Issue.5 , pp. 639-652
    • Wu, K.-L.1    Yu, J.2    Yang, M.-S.3
  • 24


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.