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Volumn 44, Issue 6, 2004, Pages 1929-1935

Accelerated K-means clustering in metric spaces

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLUSTERING METHODS; DEMOGRAPHICS; MOLECULAR DATABASES;

EID: 10044246048     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci0499222     Document Type: Article
Times cited : (14)

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    • Some methods for classification and analysis of multivariate observations
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    • Improving the performance of K-means clustering algorithm to position the centers of RBF network
    • 2, May-August
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    • (1998) International Journal of the Computer, the Internet and Management , vol.6
    • Mashor, M.Y.1
  • 9
    • 0036487280 scopus 로고    scopus 로고
    • The global K-means clustering algorithm
    • Likas, A.; Vlassis, N.; Verbeek, J. J. The Global K-Means Clustering Algorithm. Pattern Recognit. 2003, 36(2), 451-461.
    • (2003) Pattern Recognit. , vol.36 , Issue.2 , pp. 451-461
    • Likas, A.1    Vlassis, N.2    Verbeek, J.J.3
  • 10
    • 0041328214 scopus 로고    scopus 로고
    • K*-means: A new generalized k-means clustering algorithm
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    • (2003) Pattern Recognit. Lett. , vol.24 , pp. 2883-2893
    • Cheung, Y.-M.1
  • 14
    • 0020102027 scopus 로고
    • Least squares quantization in PCM
    • Lloyd, S. P. Least Squares Quantization in PCM. IEEE Trans. Inf. Theory 1982, 28, 129-137.
    • (1982) IEEE Trans. Inf. Theory , vol.28 , pp. 129-137
    • Lloyd, S.P.1
  • 16
    • 0344686480 scopus 로고    scopus 로고
    • Nearest neighbor search in general metric spaces using a tree data structure with a simple heuristic
    • Xu, H.; Agrafiotis, D. K. Nearest neighbor search in general metric spaces using a tree data structure with a simple heuristic. J. Chem. Inf. Comput. Sci. 2003, 43, 1933-1941.
    • (2003) J. Chem. Inf. Comput. Sci. , vol.43 , pp. 1933-1941
    • Xu, H.1    Agrafiotis, D.K.2
  • 17
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    • Excluded middle vantage point forests for nearest neighbor search
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    • Asinex Ltd., 6 Schukinskaya Street, Moscow 123182, Russia
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.