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Volumn , Issue , 2005, Pages 329-340

On discovery of extremely low-dimensional clusters using semi-supervised projected clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATASETS; GENE EXPRESSION PROFILES;

EID: 28444491389     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2005.96     Document Type: Conference Paper
Times cited : (48)

References (24)
  • 21
    • 0034800371 scopus 로고    scopus 로고
    • 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, 17(9):763-774, 2001.
    • (2001) Bioinformatics , vol.17 , Issue.9 , pp. 763-774
    • Yeung, K.1    Ruzzo, W.2
  • 23
    • 84861286678 scopus 로고    scopus 로고
    • On discovery of extremely low-dimensional clusters using semi-supervised projected clustering
    • HKU CS, June
    • K. Y. Yip, D. W. Cheung, and M. K. Ng. On discovery of extremely low-dimensional clusters using semi-supervised projected clustering. Technical Report TR-2004-08, HKU CS, June 2004. http://www.cs.hku.hk/research/techreps/ document/TR-2004-08.pdf.
    • (2004) Technical Report , vol.TR-2004-08
    • Yip, K.Y.1    Cheung, D.W.2    Ng, M.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.