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Volumn , Issue , 2010, Pages 1007-1010

A novel multi-view agglomerative clustering algorithm based on ensemble of partitions on different views

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATIVE CLUSTERING; AGGLOMERATIVE CLUSTERING ALGORITHM; HIERARCHICAL CLUSTERING METHODS; MULTI-VIEWS; MULTIPLE VIEWS; REAL-WORLD DATASETS;

EID: 78149489435     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.252     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 7
    • 0038545418 scopus 로고    scopus 로고
    • Identification of Web User Traffic Composition Using Multi-Modal Clustering and Information Scent
    • J. Heer and E. H. Chi, "Identification of Web User Traffic Composition Using Multi-Modal Clustering and Information Scent", in 1st SIAM ICDM, Workshop on Web Mining, Chicago, 2001.
    • 1st SIAM ICDM, Workshop on Web Mining, Chicago, 2001
    • Heer, J.1    Chi, E.H.2
  • 13
    • 84963037002 scopus 로고
    • Test for hierarchical structure in random data sets
    • Rohlf, F. J. and David L. Fisher. "Test for hierarchical structure in random data sets." Systematic Zool., 17:407-412. 1968.
    • (1968) Systematic Zool. , vol.17 , pp. 407-412
    • Rohlf, F.J.1    Fisher, D.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.