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Volumn , Issue , 2010, Pages 1069-1072

How many clusters to report: A recursive heuristic

Author keywords

[No Author keywords available]

Indexed keywords

CLOSE-IN; COMPLEXITY THEORY; EUCLIDEAN DISTANCE; ITEM CLUSTERS; LARGE AMOUNTS OF DATA; SQUARE ROOTS; STATISTICAL MODELS;

EID: 78650805442     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627287     Document Type: Conference Paper
Times cited : (2)

References (18)
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    • Jain, A.1    Moreau, J.2
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    • J. Dunn, J. "Well separated clusters and optimal fuzzy partitions." Cybern. 4, 95, 1974.
    • (1974) Cybern. , vol.4 , pp. 95
    • Dunn, J.1
  • 10
    • 0020496932 scopus 로고
    • The effect of cluster size, dimensionality, and the number of clusters on recovery of true cluster structure
    • G. Milligan, S. Soon, L. Sokol. "The Effect of Cluster Size, Dimensionality, and the Number of Clusters on Recovery of True Cluster Structure." IEEE Trans. Pattern Anal. Machine Intell. 5, 40, 1983.
    • (1983) IEEE Trans. Pattern Anal. Machine Intell. , vol.5 , pp. 40
    • Milligan, G.1    Soon, S.2    Sokol, L.3
  • 11
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    • Quality scheme assessment in the clustering process
    • Lyon, France
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    • Halkidi, M.1    Vazirgiannis, M.2    Batistakis, Y.3
  • 12
    • 0032269108 scopus 로고    scopus 로고
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    • (1998) Comput. J. , vol.41 , pp. 578
    • Fraley, C.1    Raferty, A.2
  • 13
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    • Model selection for probabilistic clustering using crossvalidated likelihood
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  • 14
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    • Regularized gaussian discriminant analysis through eigenvalue decomposition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.