메뉴 건너뛰기




Volumn 1, Issue , 2010, Pages 581-586

Constrained co-clustering for textual documents

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; IMAGE SEGMENTATION; INFORMATION RETRIEVAL; INFORMATION THEORY; MARKOV PROCESSES; MAXIMUM PRINCIPLE;

EID: 77958597570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (23)
  • 3
    • 2542567719 scopus 로고    scopus 로고
    • Semi-supervised clustering by seeding
    • Basu, S.; Banerjee, A.; and Mooney, R. J. 2002. Semi-supervised clustering by seeding. In ICML, 27-34.
    • (2002) ICML , pp. 27-34
    • Basu, S.1    Banerjee, A.2    Mooney, R.J.3
  • 4
    • 12244300524 scopus 로고    scopus 로고
    • A probabilistic framework for semi-supervised clustering
    • Basu, S.; Bilenko, M.; and Mooney, R. J. 2004. A probabilistic framework for semi-supervised clustering. In SIGKDD, 59-68.
    • (2004) SIGKDD , pp. 59-68
    • Basu, S.1    Bilenko, M.2    Mooney, R.J.3
  • 6
    • 14344264451 scopus 로고    scopus 로고
    • Integrating constraints and metric learning in semi-supervised clustering
    • Bilenko, M; Basu, S.; and Mooney, R. J. 2004. Integrating constraints and metric learning in semi-supervised clustering. In ICML, 81-88.
    • (2004) ICML , pp. 81-88
    • Bilenko, M.1    Basu, S.2    Mooney, R.J.3
  • 7
    • 77958603739 scopus 로고    scopus 로고
    • Non-negative matrix factorization for semi-supervised heterogeneous data co-clustering
    • Chen, Y.; Wang, L.; and Dong, M. 2009. Non-negative matrix factorization for semi-supervised heterogeneous data co-clustering. IEEE Trans, on Knowledge and Data Engineering.
    • (2009) IEEE Trans, on Knowledge and Data Engineering
    • Chen, Y.1    Wang, L.2    Dong, M.3
  • 8
    • 0034566393 scopus 로고    scopus 로고
    • Biclustering of expression data
    • Cheng, Y., and Church, G. M. 2000. Biclustering of expression data. In ISMB, 93-103.
    • (2000) ISMB , pp. 93-103
    • Cheng, Y.1    Church, G.M.2
  • 9
    • 12244302673 scopus 로고    scopus 로고
    • Minimum sum-squared residue co-clustering of gene expression data
    • Cho, H.; Dhillon, I. S.; Guan, Y.; and Sra, S. 2004. Minimum sum-squared residue co-clustering of gene expression data. In SDM.
    • (2004) SDM
    • Cho, H.1    Dhillon, I.S.2    Guan, Y.3    Sra, S.4
  • 10
    • 77952375075 scopus 로고    scopus 로고
    • Information-theoretic co-clustering
    • Dhillon, I. S.; Mallela, S.; and Modha, D. S. 2003. Information-theoretic co-clustering. In KDD, 89-98.
    • (2003) KDD , pp. 89-98
    • Dhillon, I.S.1    Mallela, S.2    Modha, D.S.3
  • 11
    • 0035789644 scopus 로고    scopus 로고
    • Co-clustering documents and words using bipartite spectral graph partitioning
    • Dhillon, I. S. 2001. Co-clustering documents and words using bipartite spectral graph partitioning. In KDD, 269-274.
    • (2001) KDD , pp. 269-274
    • Dhillon, I.S.1
  • 12
    • 33749575326 scopus 로고    scopus 로고
    • Orthogonal nonneg-ative matrix t-factorizations for clustering
    • Ding, C; Li, T.; Peng, W.; and Park, H. 2006. Orthogonal nonneg-ative matrix t-factorizations for clustering. In KDD, 126-135.
    • (2006) KDD , pp. 126-135
    • Ding, C.1    Li, T.2    Peng, W.3    Park, H.4
  • 15
    • 34249725008 scopus 로고    scopus 로고
    • Penalized probabilistic clustering
    • Lu, Z., and Leen, T. K. 2007. Penalized probabilistic clustering. Neural Computation 19(6): 1528-1567.
    • (2007) Neural Computation , vol.19 , Issue.6 , pp. 1528-1567
    • Lu, Z.1    Leen, T.K.2
  • 16
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, K.; McCallum, A. K.; Thrun, S.; and Mitchell, T. M. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning 39(2/3): 103-134.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.M.4
  • 17
    • 52649172731 scopus 로고    scopus 로고
    • Constrained co-clustering of gene expression data
    • Pensa, R. G., and Boulicaut, J.-F. 2008. Constrained co-clustering of gene expression data. In SDM, 25-36.
    • (2008) SDM , pp. 25-36
    • Pensa, R.G.1    Boulicaut, J.-F.2
  • 18
    • 67049165560 scopus 로고    scopus 로고
    • Bayesian co-clustering
    • Shan, H., and Banerjee, A. 2008. Bayesian co-clustering. In ICDM, 530-539.
    • (2008) ICDM , pp. 530-539
    • Shan, H.1    Banerjee, A.2
  • 19
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Strehl, A., and Ghosh, J. 2002. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research 3:583-617.
    • (2002) Journal on Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 20
    • 0042377235 scopus 로고    scopus 로고
    • Constrained k-means clustering with background knowledge
    • Wagstaff, K.; Cardie, C; Rogers, S.; and Schrodl, S. 2001. Constrained k-means clustering with background knowledge. In ICML, 577-584.
    • (2001) ICML , pp. 577-584
    • Wagstaff, K.1    Cardie, C.2    Rogers, S.3    Schrodl, S.4
  • 21
    • 70349939644 scopus 로고    scopus 로고
    • Latent dirichlet bayesian co-clustering
    • Wang, P.; Domeniconi, C; and Laskey, K. B. 2009. Latent dirichlet bayesian co-clustering. In ECMUPKDD, 522-537.
    • (2009) Ecmupkdd , pp. 522-537
    • Wang, P.1    Domeniconi, C.2    Laskey, K.B.3
  • 22
    • 53849111925 scopus 로고    scopus 로고
    • Semi-supervised clustering via matrix factorization
    • Wang, F.; Li, T.; and Zhang, C. 2008. Semi-supervised clustering via matrix factorization. In SDM, 1-12.
    • (2008) SDM , pp. 1-12
    • Wang, F.1    Li, T.2    Zhang, C.3
  • 23
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • Xing, E. P.; Ng, A. Y; Jordan, M. I.; and Russell, S. J. 2002. Distance metric learning with application to clustering with side-information. In NIPS, 505-512.
    • (2002) NIPS , pp. 505-512
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.