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Volumn 16, Issue 11, 2004, Pages 1387-1397

HARP: A practical projected clustering algorithm

Author keywords

Bioinformatics; Clustering; Data mining; Mining methods and algorithms

Indexed keywords

ALGORITHMS; BIOTECHNOLOGY; DATA MINING; GENES; INFORMATION TECHNOLOGY; PARAMETER ESTIMATION; PROBLEM SOLVING; TUMORS;

EID: 13844297591     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2004.74     Document Type: Article
Times cited : (139)

References (22)
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    • Lazzeroni, L.1    Owen, A.2
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    • An empirical study on principal component analysis for clustering gene expression data
    • K. Yeung and W. Ruzzo, "An Empirical Study on Principal Component Analysis for Clustering Gene Expression Data," Bioinformatics, vol. 17, no. 9, pp. 763-774, 2001.
    • (2001) Bioinformatics , vol.17 , Issue.9 , pp. 763-774
    • Yeung, K.1    Ruzzo, W.2
  • 22
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    • Objective criteria for the evaluation of clustering methods
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    • Rand, W.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.