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Volumn , Issue , 2006, Pages 1776-1783

Towards a fast evolutionary algorithm for clustering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; EVOLUTIONARY ALGORITHMS; FUNCTIONS; MATHEMATICAL OPERATORS; STATISTICAL METHODS;

EID: 34547267996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (26)
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    • E. R. Hruschka and N. F. F. Ebecken, A genetic algorithm for cluster analysis, Intelligent Data Analysis, 7, n.l, pp. 15-25, IOS Press, 2003.
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    • Liu, Y.1    Chen, K.2    Liao, X.3    Zhang, W.4
  • 21
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    • 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 Transactions on Fuzzy Systems, v. 3, n. 3, 370-379, 1995.
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.3 , pp. 370-379
    • Pal, N.R.1    Bezdek, J.C.2
  • 22
    • 4544331614 scopus 로고    scopus 로고
    • A Genetic Algorithm for Clustering Problems
    • University of Wisconsin, July
    • Y. Park and M. Song, A Genetic Algorithm for Clustering Problems, Proc. of the Genetic Programming Conference, pp. 568-575, University of Wisconsin, July, 1998.
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    • Park, Y.1    Song, M.2
  • 23
    • 84950632109 scopus 로고
    • Objective Criteria for the Evaluation of Clustering Methods
    • W. M. Rand, "Objective Criteria for the Evaluation of Clustering Methods", Journal of the American Statistical Association, pp. 846-850, 1971.
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  • 26
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    • Clustering geneexpression data with repeated measurements
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    • Yeung, K.Y.1    Medvedovic, M.2    Bumgarner, R.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.