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Volumn 228, Issue , 2006, Pages 227-231

Solving cluster ensemble problems by correlation's matrix & ga

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; GENETIC ALGORITHMS; GRAPHIC METHODS; LARGE DATASET;

EID: 78651300615     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-44641-7_24     Document Type: Conference Paper
Times cited : (15)

References (27)
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    • 84901722003 scopus 로고    scopus 로고
    • Estimating the number of groups and group membership using simulation cluster analysis
    • C. L. Begovich and V. E. Kane. Estimating the number of groups and group membership using simulation cluster analysis. Pattern Recognition
    • Pattern Recognition
    • Begovich, C.L.1    Kane, V.E.2
  • 6
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    • Rival penalized competitive learning for clustering analysis, rbf net, and curve detection
    • Lei Xu, Adam Krzyzak, and Erkki Oja. Rival penalized competitive learning for clustering analysis, rbf net, and curve detection. IEEE Transactions on Neural Nehvorks.
    • IEEE Transactions on Neural Nehvorks.
    • Xu, L.1    Krzyzak, A.2    Oja, E.3
  • 7
    • 84901724111 scopus 로고    scopus 로고
    • Bayesian ying-yang machine, clustering and number of clusters
    • Lei Xu. Bayesian ying-yang machine, clustering and number of clusters. Pattern Recognition Letters
    • Pattern Recognition Letters
    • Xu, L.1
  • 8
    • 84901698582 scopus 로고    scopus 로고
    • An entropy criterion for assessing the number of clusters in amixture model
    • G. Celeux and G. Soromenho. An entropy criterion for assessing the number of clusters in amixture model. Jottrnal of Classification
    • Jottrnal of Classification
    • Celeux, G.1    Soromenho, G.2
  • 14
    • 84901704793 scopus 로고    scopus 로고
    • Adaptive resonance theory: Stable selforganization of neural recognition codes in response to arbitrary lists of input patterns
    • In
    • G. Carpenter and S. Grossberg. Adaptive resonance theory: Stable selforganization of neural recognition codes in response to arbitrary lists of input patterns. In Proc. flthAnnii. Conf Cognitive Sci. Soc
    • Proc. flthAnnii. Conf Cognitive Sci. Soc
    • Carpenter, G.1    Grossberg, S.2
  • 15
    • 84901697822 scopus 로고    scopus 로고
    • The oi, os, omni and osman networks as best approximations of nonlinear systems under training data constraints
    • In Seattle
    • R. J. P. DeFigiieiredo. The oi, os, omni and osman networks as best approximations of nonlinear systems under training data constraints. In Proc. IEEE Int. Symp. Circuits Syst., Seattle.
    • Proc. IEEE Int. Symp. Circuits Syst.
    • DeFigiieiredo, R.J.P.1
  • 18
    • 84901697785 scopus 로고    scopus 로고
    • A voting-merging clustering algorithm
    • 1, editor, SFB. Adaptive Information Systems and Modeling in Economics and Management Science, number Working Paper
    • A. Weingessel E. Dimitriadou and K. Hornik. A voting-merging clustering algorithm. In Fuzzy-Neuro Systems "1, editor, SFB "Adaptive Information Systems and Modeling in Economics and Management Science, number Working Paper
    • In Fuzzy-Neuro Systems
    • Weingessel, A.1    Dimitriadou, E.2    Hornik, K.3
  • 19
    • 35649016307 scopus 로고    scopus 로고
    • Fuzzy voting in clustering
    • 1, editor, G. BreM'ka, R. Der S. GotPtvald and A. Schiervfagen
    • A. Weingessel E. Dimitriadou and K. Hornik. Fuzzy voting in clustering. In Fuzzy-Neuro Systems "1, editor, G. BreM'ka, R. Der S. GotPtvald and A. Schiervfagen, pages fi"-Vf
    • In Fuzzy-Neuro Systems
    • Weingessel, A.1    Dimitriadou, E.2    Hornik, K.3
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.