메뉴 건너뛰기




Volumn 6788, Issue , 2007, Pages

Performance research of Gaussian function weighted fuzzy C-means algorithm

Author keywords

Fuzzy C means algorithm; Fuzzy clustering; Gaussian function; Partially supervised and weighted fuzzy C means algorithm; Pattern recognition; Weighted fuzzy C means algorithm

Indexed keywords

ALGORITHMS; FUNCTION EVALUATION; FUZZY CLUSTERING; IMAGE CLASSIFICATION;

EID: 42549167036     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.750060     Document Type: Conference Paper
Times cited : (3)

References (6)
  • 1
    • 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," Journal of Cybernettic. 3, 32-57 (1973).
    • (1973) Journal of Cybernettic , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 4
    • 0021583718 scopus 로고    scopus 로고
    • J. C. Bezdek, W. F. Ehrlich, FCM: The fuzzy c-mean clustering algorithm, Computers and Geoscienc.10, 191-203 (1984).
    • J. C. Bezdek, W. F. Ehrlich, "FCM: The fuzzy c-mean clustering algorithm," Computers and Geoscienc.10, 191-203 (1984).
  • 5
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy c-means model
    • N. R. Pal, and J. C. Bezdek, "On cluster validity for the fuzzy c-means model," IEEE Trans, Fuzzy Systems, 3(4), 370-379(1995).
    • (1995) IEEE Trans, Fuzzy Systems , vol.3 , Issue.4 , pp. 370-379
    • Pal, N.R.1    Bezdek, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.