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Volumn , Issue , 2005, Pages 358-369

Topic-driven clustering for document datasets

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT COLLECTION; DOCUMENT DATASETS; EXPERIMENTAL EVALUATION;

EID: 84880093929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.32     Document Type: Conference Paper
Times cited : (33)

References (31)
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    • Copenhagen
    • D.R. Cutting, J.O. Pedersen, D.R. Karger, and J.W. Tukey. Scatter/gather: A clusterbased approach to browsing large document collections. In Proceedings of the ACM SIGIR, pages pages 18-329, Copenhagen, 1992.
    • (1992) Proceedings of the ACM SIGIR , pp. 18-329
    • Cutting, D.R.1    Pedersen, J.O.2    Karger, D.R.3    Tukey, J.W.4
  • 8
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using cluster ing
    • Inderjit S. Dhillon and Dharmendra S. Modha. Concept decompositions for large sparse text data using cluster ing. Machine Learning, 42(1/2):143-175, 2001.
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 18
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • M. F. Porter. An algorithm for suffix stripping. Program, 14(3):130-137, 1980.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 23
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:5-66, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 5-66
    • Tong, S.1    Koller, D.2
  • 27
    • 84880087734 scopus 로고    scopus 로고
    • Yahoo! Yahoo! http://www.yahoo.com.
  • 29
    • 0037869164 scopus 로고    scopus 로고
    • Criterion functions for document clustering: Experiments and analysis
    • University of Minnesota, Minneapolis, MN the W
    • Y. Zhao and G. Karypis. Criterion functions for document clustering: Experiments and analysis. Technical Report TR #01-40, Department of Computer Science, University of Minnesota, Minneapolis, MN, 2001. Available on the W at http://cs.umn.edu/~karypis/publications.
    • (2001) Technical Report TR #01-40, Department of Computer Science
    • Zhao, Y.1    Karypis, G.2
  • 31
    • 3543085722 scopus 로고    scopus 로고
    • Empirical and theoretical comparisons of selected criterion functions for document clustering
    • Y. Zhao and G. Karypis. Empirical and theoretical comparisons of selected criterion functions for document clustering. Machine Learning, 55):11-331, 2004.
    • (2004) Machine Learning , vol.55 , pp. 11-331
    • Zhao, Y.1    Karypis, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.