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Volumn 17, Issue 5, 1984, Pages 559-568

Soft clustering of multidimensional data: a semi-fuzzy approach

Author keywords

Fuzzy clustering models; Fuzzy ISODATA algorithms; Fuzzy pattern recognition; Fuzzy unsupervised learning; Semi fuzzy classification; Soft clustering algorithms

Indexed keywords

FUZZY CLUSTERING MODELS; FUZZY ISODATA ALGORITHM; FUZZY PATTERN RECOGNITION.; FUZZY UNSUPERVISED LEARNING; SEMI FUZZY CLASSIFICATION; SOFT CLUSTERING ALGORITHMS;

EID: 0021644148     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(84)90054-2     Document Type: Article
Times cited : (65)

References (14)
  • 2
    • 0002290701 scopus 로고
    • Fuzzy sets and their applications to pattern classification and clustering analysis
    • J. Van Ryzen, Academic Press
    • (1977) Classification and Clustering , pp. 251-299
    • Zadeh1
  • 4
    • 0014810305 scopus 로고
    • Numerical methods for fuzzy clustering
    • (1970) Inf. Sci. , vol.2 , pp. 319-350
    • Ruspini1
  • 5
    • 0015646594 scopus 로고
    • New experimental results in fuzzy clustering
    • (1973) Inf. Sci. , vol.6 , pp. 273-284
    • Ruspini1
  • 6
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA processes and its use in detecting compact well-separated clusters
    • (1974) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn1
  • 7
    • 0003543198 scopus 로고
    • Fuzzy mathematics in pattern classification
    • Center for Applied Mathematics, Cornell University, Ithaca, N.Y
    • (1973) Ph.D. Dissertation
    • Bezdek1
  • 13
    • 0000974551 scopus 로고
    • Plots of high dimensional data
    • (1972) Biometrics , vol.28 , pp. 126-136
    • Andrew1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.