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Volumn 7, Issue , 2007, Pages 3939-3944

A new fuzzy possibility clustering algorithms based on unsupervised mahalanobis distances

Author keywords

FPCM; FPCM M; GK algorithms; Mahalanobis distance

Indexed keywords

CLUSTERING ALGORITHMS; COVARIANCE MATRIX; FUNCTION EVALUATION; PROBLEM SOLVING;

EID: 38049079252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370834     Document Type: Conference Paper
Times cited : (17)

References (6)
  • 1
    • 85081478609 scopus 로고    scopus 로고
    • J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, NY. 1981.
    • J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, NY. 1981.
  • 5
    • 0015644825 scopus 로고
    • A fuzzy relative of the isodata process and its use in detecting compact, well-separated clusters
    • J. C. Dunn, "A fuzzy relative of the isodata process and its use in detecting compact, well-separated clusters," J. Cybern, vol. 3, no. 3 pp. 32-57, 1973.
    • (1973) J. Cybern , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.