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Volumn , Issue , 2001, Pages 269-274

Co-clustering documents and words using bipartite spectral graph partitioning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GRAPH THEORY; MATHEMATICAL MODELS; MATRIX ALGEBRA; SPECTRUM ANALYSIS;

EID: 0035789644     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502550     Document Type: Conference Paper
Times cited : (1445)

References (26)
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    • Baker, L.D.1    McCallum, A.2
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    • Cutting, D.R.1    Karger, D.R.2    Pedersen, J.O.3    Tukey, J.W.4
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    • Efficient clustering of very large document collections
    • V. K. R. Grossman, C. Kamath and R. Namburu, editors. Kluwer Academic Publishers
    • I. S. Dhillon, J. Fan, and Y. Guan. Efficient clustering of very large document collections. In V. K. R. Grossman, C. Kamath and R. Namburu, editors, Data Mining for Scientific and Engineering Applications. Kluwer Academic Publishers, 2001.
    • (2001) Data Mining for Scientific and Engineering Applications
    • Dhillon, I.S.1    Fan, J.2    Guan, Y.3
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    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • January
    • I. S. Dhillon and D. S. Modha. Concept decompositions for large sparse text data using clustering. Machine Learning, 42 (1):143-175, January 2001. Also appears as IBM Research Report RJ 10147, July 1999.
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    • Dhillon, I.S.1    Modha, D.S.2
  • 8
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    • July
    • I. S. Dhillon and D. S. Modha. Concept decompositions for large sparse text data using clustering. Machine Learning, 42 (1):143-175, January 2001. Also appears as IBM Research Report RJ 10147, July 1999.
    • (1999) IBM Research Report RJ 10147
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    • New spectral methods for ratio cut partitioning and clustering
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    • Hagen, L.1    Kahng, A.B.2
  • 16
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    • An r-dimensional quadratic placement algorithm
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    • Projections for efficient document clustering
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    • Schütze, H.1    Silverstein, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.