-
2
-
-
34548691246
-
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
-
Banerjee, A.; Dhillon, I.; Ghosh, J.; Merugu, S.; and Modha, D. S. 2007. A generalized maximum entropy approach to bregman co-clustering and matrix approximation. Journal of Machine Learning Research 8:1919-1986.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1919-1986
-
-
Banerjee, A.1
Dhillon, I.2
Ghosh, J.3
Merugu, S.4
Modha, D.S.5
-
3
-
-
2542567719
-
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
-
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
-
5
-
-
85042972591
-
-
Chapman & Hall/CRC
-
Basu, S.; Davidson, I.; and Wagstaff, K. 2008. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Chapman & Hall/CRC.
-
(2008)
Constrained Clustering: Advances in Algorithms, Theory, and Applications
-
-
Basu, S.1
Davidson, I.2
Wagstaff, K.3
-
6
-
-
14344264451
-
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
-
8
-
-
0034566393
-
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
-
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
-
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
-
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
-
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
-
13
-
-
84871617105
-
Convex and semi-nonnegative matrix factorizations
-
Ding, C. H. Q.; Li, T.; and Jordan, M. I. 2010. Convex and semi-nonnegative matrix factorizations. IEEE Trans, on Pattern Analysis and Machine Intelligence 32(1):45-55.
-
(2010)
IEEE Trans, on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.1
, pp. 45-55
-
-
Ding, C.H.Q.1
Li, T.2
Jordan, M.I.3
-
15
-
-
34249725008
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
|