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Volumn 4426 LNAI, Issue , 2007, Pages 972-980

A new initialization method for clustering categorical data

Author keywords

Categorical attribute; Cluster analysis; Data mining; Initialization method; Partitional clustering

Indexed keywords

CLUSTER ANALYSIS; COMPUTATIONAL COMPLEXITY; DATA MINING; DATA STRUCTURES; NUMERICAL METHODS;

EID: 38049171345     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71701-0_109     Document Type: Conference Paper
Times cited : (32)

References (13)
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    • (1999) IEEE Trans. Fuzzy Syst , vol.7 , Issue.4 , pp. 446-452
    • Huang, Z.1    Ng, M.K.2
  • 6
    • 38049169355 scopus 로고    scopus 로고
    • Duda, R.O. and Hart, P.E.. Pattern Classification and Sciene analysis. John Wiley and Sons, NY. 1973.
    • Duda, R.O. and Hart, P.E.. Pattern Classification and Sciene analysis. John Wiley and Sons, NY. 1973.
  • 9
    • 0036567251 scopus 로고    scopus 로고
    • An iterative initial-points refinement algorithm for categorical data clustering
    • Ying Sun, Qiuming Zhu, and Zhengxin Chen. An iterative initial-points refinement algorithm for categorical data clustering. Pattern Recognition letters 23:875-884, 2002.
    • (2002) Pattern Recognition letters , vol.23 , pp. 875-884
    • Sun, Y.1    Zhu, Q.2    Chen, Z.3
  • 12
    • 0001788080 scopus 로고    scopus 로고
    • An experimental comparison of several clustering methods
    • MSR-TR-98-06, Redmond, WA
    • M. Meila and D. Heckerman. An experimental comparison of several clustering methods. Microsoft Research Technical Report MSR-TR-98-06, Redmond, WA., 1998.
    • (1998) Microsoft Research Technical Report
    • Meila, M.1    Heckerman, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.