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Volumn 4212 LNAI, Issue , 2006, Pages 598-605

An information-theoretic framework for high-order co-clustering of heterogeneous objects

Author keywords

Co clustering; Heterogeneous data; Mutual information

Indexed keywords

ALGORITHMS; FUNCTIONS; INFORMATION ANALYSIS; PROBLEM SOLVING;

EID: 33750352365     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_57     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 8
    • 29844442223 scopus 로고    scopus 로고
    • TRICLUSTER: An effective algorithm for mining coherent clusters in 3D microarray data
    • L. Zhao and M.J. Zaki. TRICLUSTER: an effective algorithm for mining coherent clusters in 3D microarray data. In Proc. of the 2005 ACM SIGMOD Conf. on Management of Data, 694-705, 2005.
    • (2005) Proc. of the 2005 ACM SIGMOD Conf. on Management of Data , pp. 694-705
    • Zhao, L.1    Zaki, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.