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Volumn 4, Issue , 2003, Pages 2697-2702

Competitive Learning Mechanisms for Scalable, Incremental and Balanced Clustering of Streaming Texts

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT; LEARNING ALGORITHMS; PROBLEM SOLVING; WEBSITES;

EID: 0141704227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (19)
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    • Banerjee, A.1    Ghosh, J.2
  • 7
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    • Dhillon, I.S.1    Modha, D.S.2
  • 8
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    • Friedman, J.H.1
  • 9
    • 0030142919 scopus 로고    scopus 로고
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    • Galanopoulos, A.S.1    Ahalt, S.C.2
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    • 2542613410 scopus 로고    scopus 로고
    • Scalable clustering methods for data mining
    • Nong Ye, editor. Lawrence Erlbaum
    • J. Ghosh. Scalable clustering methods for data mining. In Nong Ye, editor, Handbook of Data Mining. Lawrence Erlbaum, 2003.
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    • Ghosh, J.1
  • 13
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan, editor. MIT Press
    • R. M. Neal and G. E. Hinten. A view of the EM algorithm that justifies incremental, sparse, and other variants. In M. I. Jordan, editor, Learning in Graphical Models, pages 355-368. MIT Press, 1998.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.