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Volumn , Issue , 2010, Pages 573-582

A hierarchical information theoretic technique for the discovery of non linear alternative clusterings

Author keywords

Alternative clustering; Information theoretic learning; Parzenwindow technique

Indexed keywords

ALTERNATIVE CLUSTERING; CLUSTERING QUALITY; CLUSTERINGS; COMPLEX DATASETS; DATA SETS; HIERARCHICAL INFORMATION; INFORMATION SHARING; INFORMATION THEORETIC LEARNING; MUTUAL INFORMATIONS; NON-LINEAR; NON-LINEARITY; NOVEL ALGORITHM; PARZENWINDOW TECHNIQUE;

EID: 77956211962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835804.1835878     Document Type: Conference Paper
Times cited : (36)

References (25)
  • 2
    • 84873117260 scopus 로고    scopus 로고
    • Coala: A novel approach for the extraction of an alternate clustering of high quality and high dissimilarity
    • E. Bae and J. Bailey. Coala: A novel approach for the extraction of an alternate clustering of high quality and high dissimilarity. In IEEE International Conference on Data Mining (ICDM), pages 53-62, 2006.
    • (2006) IEEE International Conference on Data Mining (ICDM) , pp. 53-62
    • Bae, E.1    Bailey, J.2
  • 11
    • 72449173699 scopus 로고    scopus 로고
    • Cluster ensemble selection
    • X. Fern and W. Lin. Cluster ensemble selection. Stat. Anal. Data Min., 1(3):128-141, 2008.
    • (2008) Stat. Anal. Data Min. , vol.1 , Issue.3 , pp. 128-141
    • Fern, X.1    Lin, W.2
  • 19
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • E. Parzen. On estimation of a probability density function and mode. The Annals of Mathematical Statistics, 33(3):1065-1076, 1962.
    • (1962) The Annals of Mathematical Statistics , vol.33 , Issue.3 , pp. 1065-1076
    • Parzen, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.