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Volumn , Issue , 2006, Pages 880-884

Star-structured high-order heterogeneous data co-clustering based on consistent information theory

Author keywords

[No Author keywords available]

Indexed keywords

COCLUSTERING; WEB IMAGES;

EID: 47949102777     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2006.154     Document Type: Conference Paper
Times cited : (43)

References (11)
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    • Dhillon, I.S.1
  • 6
    • 84948182065 scopus 로고    scopus 로고
    • Iterative double clustering for unsupervised and semi-supervised learning
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    • El-Yaniv, R., and Souroujon, O. Iterative double clustering for unsupervised and semi-supervised learning. In Proceedings of ECML'01, pages: 121-132, 2001.
    • (2001) Proceedings of ECML'01 , pp. 121-132
    • El-Yaniv, R.1    Souroujon, O.2
  • 7
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    • Web image clustering by consistent utilization of visual features and surrounding texts
    • pages
    • Gao, B., Liu, T. Qin, T. Zheng, X. Cheng, Q. and Ma, W. Web image clustering by consistent utilization of visual features and surrounding texts. In Proceedings of ACM Multimedia'05, pages: 112-121, 2005.
    • (2005) Proceedings of ACM Multimedia'05 , pp. 112-121
    • Gao, B.1    Liu, T.2    Qin, T.3    Zheng, X.4    Cheng, Q.5    Ma, W.6
  • 8
    • 32344447271 scopus 로고    scopus 로고
    • Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
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    • Gao, B., Liu, T., Zheng, X., Cheng, Q., and Ma, W. Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering. In Proceedings of ACM SIGKDD'05, pages: 41-50, 2005.
    • (2005) Proceedings of ACM SIGKDD'05 , pp. 41-50
    • Gao, B.1    Liu, T.2    Zheng, X.3    Cheng, Q.4    Ma, W.5
  • 9
    • 0026821278 scopus 로고
    • Texture classification and segmentation using multiresolution simultaneous autoregressive models
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    • Document clustering using word clusters via the information bottleneck method
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    • Slonim, N.1    Tishby, N.2
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    • ReCoM: Reinforcement clustering of multi-type interrelated data objects
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.