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Volumn 1, Issue , 2005, Pages 32-37

Feature selection for cluster analysis: An approach based on the simplified silhouette criterion

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATABASE SYSTEMS; PROBLEM SOLVING; SET THEORY;

EID: 33847243704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (23)
  • 2
    • 0001784651 scopus 로고    scopus 로고
    • An Overview of Combinatorial Data Analysis (Chapter 1)
    • ed. P. Arabie, L.J. Hubert, G. DeSoete, World Scientific
    • Arabie, P., Hubert, L. J., An Overview of Combinatorial Data Analysis (Chapter 1). Clustering and Classification, ed. P. Arabie, L.J. Hubert, G. DeSoete, World Scientific, 1999.
    • (1999) Clustering and Classification
    • Arabie, P.1    Hubert, L.J.2
  • 4
    • 33847230068 scopus 로고    scopus 로고
    • Everitt, B.S., Landau, S., Leese, M., Cluster Analysis, Arnold Publishers, London, 2001.5. Dash, M., Liu, H., Feature Selection for Clustering, Proc. of the Pacific-Asia Conference on Knowledge Discovery and
    • Everitt, B.S., Landau, S., Leese, M., Cluster Analysis, Arnold Publishers, London, 2001.5. Dash, M., Liu, H., Feature Selection for Clustering, Proc. of the Pacific-Asia Conference on Knowledge Discovery and
  • 5
    • 84942747959 scopus 로고    scopus 로고
    • PAKDD
    • Data Mining (PAKDD), LNCS 1805, pp. 110-121, 2000.
    • (2000) LNCS , vol.1805 , pp. 110-121
    • Mining, D.1
  • 9
    • 17044405923 scopus 로고    scopus 로고
    • Toward Integrating Feature Selection Algorithms for Classification and Clustering
    • Liu, H., Yu, L., Toward Integrating Feature Selection Algorithms for Classification and Clustering, IEEE Transactions on Knowledge and Data Engineering, 17(3), 1-12, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.3 , pp. 1-12
    • Liu, H.1    Yu, L.2
  • 11
    • 84883699144 scopus 로고    scopus 로고
    • Dependency-based feature selection for clustering symbolic data
    • Talavera, L., Dependency-based feature selection for clustering symbolic data, Intelligent Data Analysis 4(1), 19-28, 2000.
    • (2000) Intelligent Data Analysis , vol.4 , Issue.1 , pp. 19-28
    • Talavera, L.1
  • 13
    • 0000959484 scopus 로고    scopus 로고
    • CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts
    • Xing, E.P., Karp, R.M., CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts, Bioinformatics, 17(1) S306-S315, 2001.
    • (2001) Bioinformatics , vol.17 , Issue.1
    • Xing, E.P.1    Karp, R.M.2
  • 22
    • 0037667290 scopus 로고    scopus 로고
    • Clustering gene-expression data with repeated measurements
    • article R34
    • Yeung, K.Y., Medvedovic, M., Bumgarner, R.E., Clustering gene-expression data with repeated measurements, Genome Biology, 4(5), article R34, 2003.
    • (2003) Genome Biology , vol.4 , Issue.5
    • Yeung, K.Y.1    Medvedovic, M.2    Bumgarner, R.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.