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Volumn 1, Issue , 2009, Pages 3-8

Comparative advantage approach for sparse text data clustering

Author keywords

Comparative advantage; Dimension reduction; Document clustering; K means; Key term extraction; Sparsity

Indexed keywords

COMPARATIVE ADVANTAGE; DIMENSION REDUCTION; DOCUMENT CLUSTERING; K-MEANS; KEY TERM EXTRACTION;

EID: 73449121093     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2009.22     Document Type: Conference Paper
Times cited : (7)

References (14)
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    • Berkeley, University of California Press, pp
    • J. B. MacQueen, "Some Methods for classification and Analysis of Multivariate Observations", Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press, pp. 281-297, 1967.
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    • MacQueen, J.B.1
  • 4
    • 0001138328 scopus 로고
    • A k-Means Clustering Algorithm
    • J. A. Hartigan and M. A. Wong, "A k-Means Clustering Algorithm", Applied Statistics, Vol. 28, No. 1, pp.100-108, 1979.
    • (1979) Applied Statistics , vol.28 , Issue.1 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 5
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley, "Term-weighting approaches in automatic text retrieval," Information Processing & Management 24(5), pp. 513-523, 1988.
    • (1988) Information Processing & Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 8
    • 0020102027 scopus 로고
    • Least Squares Quantization in PCM
    • S. P. Lloyd, "Least Squares Quantization in PCM," IEEE Transactions on Information Theory, vol. 28, no. 2, pp. 129-137, 1982.
    • (1982) IEEE Transactions on Information Theory , vol.28 , Issue.2 , pp. 129-137
    • Lloyd, S.P.1
  • 9
    • 0034824884 scopus 로고    scopus 로고
    • Concept Decompositions for Large Sparse Text Data Using Clustering
    • doi: 10.1023/A:1007612920971, Jan
    • I. S. Dhillon and Dharmendra S. Modha, "Concept Decompositions for Large Sparse Text Data Using Clustering", Machine Learning, vol. 42, Jan. 2001, pp. 143-175, doi: 10.1023/A:1007612920971.
    • (2001) Machine Learning , vol.42 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 14
    • 73449139383 scopus 로고    scopus 로고
    • ftp://ftp.cs.cornell.edu/pub/smart


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.