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Volumn 4472 LNCS, Issue , 2007, Pages 200-209

Selecting diversifying heuristics for cluster ensembles

Author keywords

Cluster ensembles; Diversifying heuristics; Genetic algorithms; Multiple classifier systems; Pattern recognition

Indexed keywords

CLUSTERING ALGORITHMS; DATA STRUCTURES; FEATURE EXTRACTION; GENETIC ALGORITHMS; RANDOM PROCESSES;

EID: 37249091982     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72523-7_21     Document Type: Conference Paper
Times cited : (15)

References (15)
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    • Finding consistent clusters in data partitions
    • F. Roli and J. Kittler, editors, Proc. 2nd International Workshop on Multiple Classifier Systems, MCS'01, of, Cambridge, UK, Springer-Verlag
    • A. Fred. Finding consistent clusters in data partitions. In F. Roli and J. Kittler, editors, Proc. 2nd International Workshop on Multiple Classifier Systems, MCS'01, volume 2096 of Lecture Notes in Computer Science, pages 309-318, Cambridge, UK, 2001. Springer-Verlag.
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    • Fred, A.1
  • 6
    • 84925487039 scopus 로고    scopus 로고
    • J. Ghosh. Multiclassifier systems: Back to the future. In F. Roli and J. Kittler, editors, Proc. 3d International Workshop on Multiple Classifier Systems, MCS'02, 2364 of Lecture Notes in Computer Science, pages 1-15, Cagliari, Italy, 2002. Springer-Verlag.
    • J. Ghosh. Multiclassifier systems: Back to the future. In F. Roli and J. Kittler, editors, Proc. 3d International Workshop on Multiple Classifier Systems, MCS'02, volume 2364 of Lecture Notes in Computer Science, pages 1-15, Cagliari, Italy, 2002. Springer-Verlag.
  • 8
    • 33947113110 scopus 로고    scopus 로고
    • Ensemble clustering in medical diagnostics
    • Technical Report TCD-CS-2004-12, Department of Computer Science, Trinity College, Dublin, Ireland
    • D. Greene, A. Tsymbal, N. Bolshakova, and P. Cunningham. Ensemble clustering in medical diagnostics. Technical Report TCD-CS-2004-12, Department of Computer Science, Trinity College, Dublin, Ireland, 2004.
    • (2004)
    • Greene, D.1    Tsymbal, A.2    Bolshakova, N.3    Cunningham, P.4
  • 9
    • 50149121796 scopus 로고    scopus 로고
    • Experimental comparison of cluster ensemble methods
    • Florence, Italy
    • L. I. Kuncheva, S. T. Hadjitodorov, and L. P. Todorova. Experimental comparison of cluster ensemble methods. In Proc. FUSION, Florence, Italy, 2006.
    • (2006) Proc. FUSION
    • Kuncheva, L.I.1    Hadjitodorov, S.T.2    Todorova, L.P.3
  • 11
    • 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
  • 13
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • A. Strehl and J. Ghosh. Cluster ensembles - A knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research, 3:583-618, 2002.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 583-618
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.