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Volumn , Issue , 2007, Pages 77-80

Ensemble document clustering using weighted hypergraph generated by NMF

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; MATRIX ALGEBRA; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 79953288803     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 2
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    • Bagging predictors
    • L. Breiman. 1996. Bagging predictors. Machine Learning, 24(2):123–140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0012951994 scopus 로고    scopus 로고
    • Spectral Min-max Cut for Graph Partitioning and Data Clustering
    • Tech. report 47848
    • C. Ding, X. He, H. Zha, M. Gu, and H. Simon. 2001. Spectral Min-max Cut for Graph Partitioning and Data Clustering. In Lawrence Berkeley National Lab. Tech. report 47848.
    • (2001) Lawrence Berkeley National Lab
    • Ding, C.1    He, X.2    Zha, H.3    Gu, M.4    Simon, H.5
  • 7
    • 0030381274 scopus 로고    scopus 로고
    • Reexamining the cluster hypothesis: Scatter/gather on retrieval results
    • M. A. Hearst and J. O. Pedersen. 1996. Reexamining the cluster hypothesis: Scatter/gather on retrieval results. In Proceedings of SIGIR-96, pages 76–84.
    • (1996) Proceedings of SIGIR-96 , pp. 76-84
    • Hearst, M. A.1    Pedersen, J. O.2
  • 9
    • 19944406145 scopus 로고    scopus 로고
    • A Hierarchical Monothetic Document Clustering Algorithm for Summarization and Browsing Search Results
    • K. Kummamuru, R. Lotlikar, S. Roy, K. Singal, and R. Krishnapuram. 2004. A Hierarchical Monothetic Document Clustering Algorithm for Summarization and Browsing Search Results. In Proceedings of WWW-04, pages 658–665.
    • (2004) Proceedings of WWW-04 , pp. 658-665
    • Kummamuru, K.1    Lotlikar, R.2    Roy, S.3    Singal, K.4    Krishnapuram, R.5
  • 10
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. D. Lee and H. S. Seung. 2000. Algorithms for non-negative matrix factorization. In NIPS, pages 556–562.
    • (2000) NIPS , pp. 556-562
    • Lee, D. D.1    Seung, H. S.2
  • 12
    • 0036931833 scopus 로고    scopus 로고
    • Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions
    • A. Strehl and J. Ghosh. 2002. Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions. In Conference on Artificial Intelligence (AAAI-2002), pages 93–98.
    • (2002) Conference on Artificial Intelligence (AAAI-2002) , pp. 93-98
    • Strehl, A.1    Ghosh, J.2
  • 14
    • 1542347778 scopus 로고    scopus 로고
    • Document clustering based on non-negative matrix factorization
    • W. Xu, X. Liu, and Y. Gong. 2003. Document clustering based on non-negative matrix factorization. In Proceedings of SIGIR-03, pages 267–273.
    • (2003) Proceedings of SIGIR-03 , pp. 267-273
    • Xu, W.1    Liu, X.2    Gong, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.