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Volumn , Issue , 2006, Pages 42-47

A new cluster validity index for fuzzy clustering based on combination of dual triples

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CLUSTERING ALGORITHMS; DATA STRUCTURES; DATABASE SYSTEMS; INFORMATION MANAGEMENT;

EID: 34250712208     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681692     Document Type: Conference Paper
Times cited : (5)

References (15)
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    • Cluster validity with fuzzy setsm
    • J.C. Bezdek, "Cluster validity with fuzzy sets"m Journal of Cybernetics. 3:5873, 1974.
    • (1974) Journal of Cybernetics , vol.3 , pp. 5873
    • Bezdek, J.C.1
  • 5
    • 0030141444 scopus 로고    scopus 로고
    • Validating fuzzy partition obtained through c-shells clustering
    • R.N. Davé, "Validating fuzzy partition obtained through c-shells clustering", Pattern Recognition Letters, 17:413-623, 1996.
    • (1996) Pattern Recognition Letters , vol.17 , pp. 413-623
    • Davé, R.N.1
  • 6
    • 34250769247 scopus 로고    scopus 로고
    • An ambiguity measure for pattern recognition problems using triangularnorms combination
    • C. Frélicot and L. Mascarilla and A. Fruchard, "An ambiguity measure for pattern recognition problems using triangularnorms combination", WSEAS Transactions on Systems, 8(3):2710-2715, 2004.
    • (2004) WSEAS Transactions on Systems , vol.8 , Issue.3 , pp. 2710-2715
    • Frélicot, C.1    Mascarilla, L.2    Fruchard, A.3
  • 7
    • 0001404416 scopus 로고
    • A new method for choosing the number of clusters for the fuzzy c-means method
    • July
    • Y. Fukuyama and M. Sugeno, "A new method for choosing the number of clusters for the fuzzy c-means method", Proc. 5th Fuzzy Systems Symposium, 247-250, July 1989.
    • (1989) Proc. 5th Fuzzy Systems Symposium , pp. 247-250
    • Fukuyama, Y.1    Sugeno, M.2
  • 10
    • 4544263146 scopus 로고    scopus 로고
    • On cluster validity index for estimating the optimal number of fuzzy clusters
    • D-W. Kim and K.H. Lee and D. Lee. "On cluster validity index for estimating the optimal number of fuzzy clusters", Pattern Recognition, 37(3):2009-2025, 2004.
    • (2004) Pattern Recognition , vol.37 , Issue.3 , pp. 2009-2025
    • Kim, D.-W.1    Lee, K.H.2    Lee, D.3
  • 14
    • 18444403761 scopus 로고    scopus 로고
    • A cluster validity index for fuzzy clustering
    • K-L. Wu and M-S Yang, "A cluster validity index for fuzzy clustering", Pattern Recognition Letters, 26(3):1275-1201, 2005.
    • (2005) Pattern Recognition Letters , vol.26 , Issue.3 , pp. 1275-1201
    • Wu, K.-L.1    Yang, M.-S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.