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Volumn 31, Issue 3, 2002, Pages 19-27

Clustering validity checking methods: Part II

Author keywords

Clustering validation; Pattern discovery; Unsupervised learning

Indexed keywords

CHECKING METHODS; CLUSTERING VALIDATION; PATTERN DISCOVERY; UNSUPERVISED LEARNING;

EID: 0348096294     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/601858.601862     Document Type: Review
Times cited : (377)

References (19)
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    • Freiburg, Germany
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    • Halkidi, M.1    Vazirgiannis, M.2
  • 10
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    • to appear in the, California, USA, November
    • M. Halkidi, M. Vazirgiannis, "Clustering Validity Assessment: Finding the optimal partitioning of a data set", to appear in the Proceedings of ICDM, California, USA, November 2001.
    • (2001) Proceedings of ICDM
    • Halkidi, M.1    Vazirgiannis, M.2
  • 11
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    • Quadratic shell clustering algorithms and the detection of second-degree curves
    • Krishnapuram, R., Frigui, H., Nasraoui. O. "Quadratic shell clustering algorithms and the detection of second-degree curves", Pattern Recognition Letters, Vol. 14(7), 1993
    • (1993) Pattern Recognition Letters , vol.14 , Issue.7
    • Krishnapuram, R.1    Frigui, H.2    Nasraoui, O.3
  • 13
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    • An examination of procedures for determining the number of clusters in a data set
    • Mulligan, G.W. and Cooper, M.C.. "An Examination of Procedures for Determining the Number of Clusters in a Data Set", Psychometrika, Vol.50, pp 159-179, 1985.
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    • Mulligan, G.W.1    Cooper, M.C.2
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    • Cluster Validation using graph theoretic concepts
    • Pal, N.R., Biswas, J.. "Cluster Validation using graph theoretic concepts". Pattern Recognition, Vol. 30(6), 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.6
    • Pal, N.R.1    Biswas, J.2
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    • Clustering using monte carlo cross-validation
    • Smyth, P. "Clustering using Monte Carlo Cross-Validation". Proceedings of KDD Conference, 1996.
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    • Smyth, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.