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Volumn 5012 LNAI, Issue , 2008, Pages 992-998

R-map: Mapping categorical data for clustering and visualization based on reference sets

Author keywords

Categorical data; Clustering; Data mapping

Indexed keywords

CLUSTERING ALGORITHMS; DATA VISUALIZATION; DATABASE SYSTEMS; NUMERICAL METHODS; STATISTICS;

EID: 44649106359     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68125-0_104     Document Type: Conference Paper
Times cited : (2)

References (10)
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  • 2
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    • Ding, C.: Spectral clustering. icml2004 tutorial (2004)
  • 4
    • 44649181942 scopus 로고    scopus 로고
    • A fast clustering algorithm to cluster very large categorical data sets in data mining
    • ACM Press, New York
    • Huang, Z.X.: A fast clustering algorithm to cluster very large categorical data sets in data mining. In: Proceedings ACM SIGMOD International Conference on Management of Data, ACM Press, New York (1997)
    • (1997) Proceedings ACM SIGMOD International Conference on Management of Data
    • Huang, Z.X.1
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    • 44649096156 scopus 로고    scopus 로고
    • Roweis, S, Lawrenece, S, Nonlinear dimensionality reduction by locally linear embedding. Science
    • Roweis, S., Lawrenece, S.: Nonlinear dimensionality reduction by locally linear embedding. Science
  • 9
    • 0034228041 scopus 로고    scopus 로고
    • Rock: A robust clustering algorithm for categorical attributes
    • Guha, S., Rastogi, R., Shim, K.: Rock: A robust clustering algorithm for categorical attributes. Information Systems 25, 345-366 (2000)
    • (2000) Information Systems , vol.25 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 10
    • 84899009769 scopus 로고    scopus 로고
    • Global versus local methods in nonlinear dimensionality reduction
    • Silva, V., Tenenbaum, J.B.: Global versus local methods in nonlinear dimensionality reduction. In: Proc. NIPS 2003, pp. 721-728 (2003)
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    • Silva, V.1    Tenenbaum, J.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.