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Volumn , Issue , 2011, Pages 459-465

The proposal of a fuzzy clustering algorithm based on particle swarm

Author keywords

bioinspired algorithms; fuzzy c means algorithm; fuzzy data clustering; particle swarm data clustering

Indexed keywords

BIO-INSPIRED ALGORITHMS; CRISP DATA; DEGREE OF MEMBERSHIP; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; FUZZY CLUSTERS; FUZZY DATA; FUZZY PARTICLE SWARM; PARTICLE SWARM; PARTICLE SWARM DATA CLUSTERING; STRUCTURAL CHANGE;

EID: 83755228687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NaBIC.2011.6089630     Document Type: Conference Paper
Times cited : (14)

References (26)
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    • Izakian, H.1    Abraham, A.2
  • 16
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    • Cover, T.1    Hart, P.2
  • 23
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • J. C. Bezdek, "Cluster validity with fuzzy sets", J. Cybernet, pp. 58-73, 1974a.
    • (1974) J. Cybernet , pp. 58-73
    • Bezdek, J.C.1
  • 24
    • 0016206886 scopus 로고
    • Numerical taxonomy with fuzzy sets
    • J. C. Bezdek, "Numerical taxonomy with fuzzy sets", J. Cybernet, pp. 57-71, 1974b.
    • (1974) J. Cybernet , pp. 57-71
    • Bezdek, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.