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Volumn 2, Issue , 2004, Pages 1214-1219

Using diversity in cluster ensembles

Author keywords

Cluster ensembles; Diversity; Multiple classifier systems; Pattern recognition

Indexed keywords

CLUSTER ENSEMBLE; CO-ASSOCIATION MATRIX; DIVERSITY; MULTIPLE CLASSIFIER SYSTEMS;

EID: 15744388753     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1399790     Document Type: Conference Paper
Times cited : (279)

References (17)
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  • 4
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    • Fern, X.Z.1    Brodley, C.E.2
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    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles
    • L. I. Kuncheva and C. J. Whitaker. Measures of diversity in classifier ensembles. Machine Learning, 51:181-207, 2003.
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 13
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: A resampling based method for class discovery and visualization of gene expression microarray data
    • S. Monti, P. Tamayo, J. Mesirov, and T. Golub. Consensus clustering: A resampling based method for class discovery and visualization of gene expression microarray data. Machine Learning, 52:91-118, 2003.
    • (2003) Machine Learning , vol.52 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
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    • Rand, W.M.1
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    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
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    • Strehl, A.1    Ghosh, J.2
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    • Cluster ensembles - A knowledge reuse framework for combining partitionings
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    • A. Strehl and J. Ghosh. Cluster ensembles - A knowledge reuse framework for combining partitionings. In Proceedings of AAAI. AAAI/MIT Press, 2002.
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  • 17


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.