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Volumn , Issue , 2012, Pages 2833-2838

A modified multiobjective EA-based clustering algorithm with automatic determination of the number of clusters

Author keywords

Clustering; Diversity; Multiobjective Clustering

Indexed keywords

AUTOMATIC DETERMINATION; CLUSTERING; CLUSTERING RESULTS; CROSSOVER OPERATOR; DATA CLUSTERING; DATA SETS; DETERMINING THE NUMBER OF CLUSTERS; DIVERSITY; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE CLUSTERING; MUTATION OPERATORS; NUMBER OF CLUSTERS; PRIORI KNOWLEDGE; RESEARCH ISSUES; SINGLE MUTATION;

EID: 84872408182     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2012.6378178     Document Type: Conference Paper
Times cited : (14)

References (17)
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  • 9
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    • A symmetry based multiobjective clustering technique for automatic evolution of clusters
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    • (2010) Pattern Recognition , vol.43 , Issue.3 , pp. 738-751
    • Saha, S.1    Bandyopadhyay, S.2
  • 15
    • 0348108148 scopus 로고    scopus 로고
    • Validity index for crisp and fuzzy clusters
    • DOI 10.1016/j.patcog.2003.06.005
    • M. K. Pakhira, S. Bandyopadhyay, and U. Maulik, "Validity index for crisp and fuzzy clusters," Pattern Recognition, vol. 37, no. 3, pp. 487-501, 2004. (Pubitemid 38003088)
    • (2004) Pattern Recognition , vol.37 , Issue.3 , pp. 487-501
    • Pakhira, M.K.1    Bandyopadhyay, S.2    Maulik, U.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.