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Volumn 43, Issue 5, 2010, Pages 1975-1983

Fast support-based clustering method for large-scale problems

Author keywords

Cluster labeling; Dynamical system; Kernel methods; Large scale problem; Support vector clustering

Indexed keywords

CLUSTER LABELING; CLUSTERING METHODS; COMPUTATIONAL BOTTLENECKS; DATA POINTS; LARGE-SCALE PROBLEM; NOVEL METHODS; SPEED-UPS; SUPPORT VECTOR; SUPPORT VECTOR CLUSTERING;

EID: 75749149246     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.12.010     Document Type: Article
Times cited : (47)

References (26)
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  • 6
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    • Dynamic characterization of cluster structures for robust and inductive support vector clustering
    • Lee J., and Lee D. Dynamic characterization of cluster structures for robust and inductive support vector clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 11 (2006) 1869-1874
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    • Clustering based on gaussian processes
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    • Kim, H.-C.1    Lee, J.2
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    • Equilibrium-based support vector machine for semi-supervised classification
    • Lee D., and Lee J. Equilibrium-based support vector machine for semi-supervised classification. IEEE Transactions on Neural Networks 18 2 (2007) 578-583
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.2 , pp. 578-583
    • Lee, D.1    Lee, J.2
  • 22
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    • UCI repository of machine learning databases, URL 〈
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    • (1998)
    • Newman, D.1    Hettich, S.2    Blake, C.3    Merz, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.