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Volumn , Issue , 2001, Pages 633-636

A fast algorithm to cluster high dimensional basket data

Author keywords

[No Author keywords available]

Indexed keywords


EID: 4344634717     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (17)
  • 1
    • 0039253822 scopus 로고    scopus 로고
    • Finding generalized projected clusters in dimensional spaces
    • Charu Aggarwal and Philip Yu. Finding generalized projected clusters in dimensional spaces. In ACM SIGMOD Conference, 2000.
    • ACM SIGMOD Conference, 2000
    • Aggarwal, C.1    Yu, P.2
  • 2
  • 3
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. In ACM SIGMOD Conference, pages 207-216, 1993.
    • (1993) ACM SIGMOD Conference , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 4
    • 0001882616 scopus 로고    scopus 로고
    • Fast algorithms for mining association rules in large databases
    • Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules in large databases. In VLDB Conference, 1994.
    • VLDB Conference, 1994
    • Agrawal, R.1    Srikant, R.2
  • 7
    • 0002629270 scopus 로고
    • Maximum likelihood estimation from incomplete data via the EM algorithm
    • Arthur P. Dempster, Nan M. Laird, and Donald B. Rubin. Maximum likelihood estimation from incomplete data via the EM algorithm. Journal of The Royal Statistical Society, 39(1):1-38, 1977.
    • (1977) Journal of the Royal Statistical Society , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 9
    • 0002679222 scopus 로고    scopus 로고
    • Scalability for clustering algorithms revisited
    • June
    • Fredrik Fanstrom, James Lewis, and Charles Elkan. Scalability for clustering algorithms revisited. SIGKDD Explorations, 2(1):51-57, June 2000.
    • (2000) SIGKDD Explorations , vol.2 , Issue.1 , pp. 51-57
    • Fanstrom, F.1    Lewis, J.2    Elkan, C.3
  • 10
    • 0000835955 scopus 로고    scopus 로고
    • Optimal grid-clustering: Towards breaking the curse of dimensionality
    • Alexander Hinneburg and Daniel Keim. Optimal grid-clustering: Towards breaking the curse of dimensionality. In VLDB Conference, 1999.
    • VLDB Conference, 1999
    • Hinneburg, A.1    Keim, D.2
  • 13
    • 0039845361 scopus 로고    scopus 로고
    • SQLEM: Fast clustering in SQL using the EM algorithm
    • Carlos Ordonez and Paul Cereghini. SQLEM: Fast clustering in SQL using the EM algorithm. In ACM SIGMOD Conference, pages 559-570, 2000.
    • (2000) ACM SIGMOD Conference , pp. 559-570
    • Ordonez, C.1    Cereghini, P.2
  • 17
    • 0000845117 scopus 로고
    • On convergence properties of the EM algorithm for Gaussian mixtures
    • Lei Xu and Michael Jordan. On convergence properties of the EM algorithm for Gaussian mixtures. Neural Computation, 7, 1995.
    • (1995) Neural Computation , vol.7
    • Xu, L.1    Jordan, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.