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Volumn 37, Issue 3, 2004, Pages 487-501

Validity index for crisp and fuzzy clusters

Author keywords

Clustering; Expectation maximization algorithm; Fuzzy c means algorithm; K Means algorithm; Unsupervised classification; Validity index

Indexed keywords

ALGORITHMS; PATTERN RECOGNITION;

EID: 0348108148     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.06.005     Document Type: Article
Times cited : (690)

References (18)
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    • Dubes, R.C.1    Jain, A.K.2
  • 9
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    • 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. Cybern. 3 1973 32-57
    • (1973) J. Cybern. , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 11
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy c-means model
    • Pal N.R. Bezdek J.C. On cluster validity for the 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.R.1    Bezdek, J.C.2
  • 12
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems Annals Eugenics 3 1936 179-188
    • (1936) Annals Eugenics , vol.3 , pp. 179-188
    • Fisher, R.A.1
  • 16
    • 0029184523 scopus 로고
    • Fuzzy multi-layer perceptron, inferencing and rule generation
    • Mitra S. Pal S.K. Fuzzy multi-layer perceptron, inferencing and rule generation IEEE Trans. Neural Networks 6 1995 51-63
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 51-63
    • Mitra, S.1    Pal, S.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.