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Volumn 18, Issue 1, 2009, Pages 95-110

Efficient subspace clustering for higher dimensional data using fuzzy entropy

Author keywords

Class match degree; Clustering; Entropy; Fuzzy entropy; Subspace

Indexed keywords

DISTRIBUTION FUNCTIONS; ENTROPY; HEURISTIC METHODS; MEMBERSHIP FUNCTIONS;

EID: 62449131158     PISSN: 10043756     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11518-009-5097-y     Document Type: Article
Times cited : (13)

References (23)
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  • 5
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    • Chang, J.W.1    Jin, D.S.2
  • 14
    • 0025404409 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controller, parts i and ii
    • C.C. Lee 1992 Fuzzy logic in control systems: fuzzy logic controller, parts i and ii IEEE Transactions on Systems, Man, and Cybernetics 20 2 404 435
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    • Lee, C.C.1
  • 17
    • 17044376078 scopus 로고    scopus 로고
    • Subspace clustering for high dimensional data: A review
    • L. Parson E. Haque H. Liu 2004 Subspace clustering for high dimensional data: a review SIGKDD Explorations 6 1 90 105
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 90-105
    • Parson, L.1    Haque, E.2    Liu, H.3
  • 20
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    • Mafia: Efficient and scalable subspace clustering for very large data sets
    • Northwestern University
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    • Goil, S.1    Nagesh, H.2    Choudhary, A.3
  • 21
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    • FINDIT: A Fast and Intelligent Subspace Clustering Algorithm using Dimension Voting
    • Korea Advanced Institute of Science and Technology Taejon, Korea
    • Woo, K.G. & Lee, J.H. (2002). FINDIT: a Fast and Intelligent Subspace Clustering Algorithm using Dimension Voting. PhD thesis, Korea Advanced Institute of Science and Technology, Taejon, Korea
    • (2002) PhD Thesis
    • Woo, K.G.1    Lee, J.H.2
  • 22
    • 33749563831 scopus 로고    scopus 로고
    • K-means clustering versus validation measures: A data distribution perspective
    • Xiong, H., Wu, J. & Chen, J. (2006). K-means clustering versus validation measures: a data distribution perspective. In: Proc. of the 12th ACM SIGKDD
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.