-
1
-
-
54249110594
-
Mixed membership stochastic blockmodels
-
E.M. Airoldi, D.M. Blei, S.E. Fienberg, and E.P. Xing, "Mixed Membership Stochastic Blockmodels," J. Machine Learning Research, vol.9, pp. 1981-2014, 2008.
-
(2008)
J. Machine Learning Research
, vol.9
, pp. 1981-2014
-
-
Airoldi, E.M.1
Blei, D.M.2
Fienberg, S.E.3
Xing, E.P.4
-
3
-
-
12244261221
-
A generalized maximum entropy approach to bregman co- clustering and matrix approximation
-
A. Banerjee, I.S. Dhillon, J. Ghosh, S. Merugu, and D.S. Modha, "A Generalized Maximum Entropy Approach to Bregman Co- Clustering and Matrix Approximation," Proc. 10th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 509-514, 2004.
-
(2004)
Proc. 10th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining
, pp. 509-514
-
-
Banerjee, A.1
Dhillon, I.S.2
Ghosh, J.3
Merugu, S.4
Modha, D.S.5
-
7
-
-
76649126078
-
Mining hidden community in heterogeneous social networks
-
D. Cai, Z. Shao, X. He, X. Yan, and J. Han, "Mining Hidden Community in Heterogeneous Social Networks," Proc. Workshop Link Discovery: Issues, Approaches and Applications, pp. 58-65, 2005.
-
(2005)
Proc. Workshop Link Discovery: Issues, Approaches and Applications
, pp. 58-65
-
-
Cai, D.1
Shao, Z.2
He, X.3
Yan, X.4
Han, J.5
-
9
-
-
49749105201
-
Incorporating user provided constraints into document clustering
-
Y. Chen, M. Rege, M. Dong, and J. Hua, "Incorporating User Provided Constraints into Document Clustering," Proc. Seventh IEEE Int'l Conf. Data Mining, pp. 103-112, 2007.
-
(2007)
Proc. Seventh IEEE Int'l Conf. Data Mining
, pp. 103-112
-
-
Chen, Y.1
Rege, M.2
Dong, M.3
Hua, J.4
-
10
-
-
70349234378
-
A matrix-based approach for semi-supervised document co-clustering
-
Y. Chen, L. Wang, and M. Dong, "A Matrix-Based Approach for Semi-Supervised Document Co-Clustering," Proc. 17th ACM Conf. Information and Knowledge Management, pp. 1523-1524, 2008.
-
(2008)
Proc. 17th ACM Conf. Information and Knowledge Management
, pp. 1523-1524
-
-
Chen, Y.1
Wang, L.2
Dong, M.3
-
11
-
-
57149147265
-
Non-negative matrix factorization for semi-supervised data clustering
-
Y. Chen, M. Rege, M. Dong, and J. Hua, "Non-Negative Matrix Factorization for Semi-Supervised Data Clustering," J. Knowledge and Information Systems, vol.17, pp. 355-379, 2008.
-
(2008)
J. Knowledge and Information Systems
, vol.17
, pp. 355-379
-
-
Chen, Y.1
Rege, M.2
Dong, M.3
Hua, J.4
-
14
-
-
77952375075
-
Information-theoretic co-clustering
-
I.S. Dhillon, S. Mallela, and D.S. Modha, "Information-Theoretic Co-Clustering," Proc. Ninth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 89-98, 2003.
-
(2003)
Proc. Ninth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining
, pp. 89-98
-
-
Dhillon, I.S.1
Mallela, S.2
Modha, D.S.3
-
15
-
-
0038494599
-
Unsupervised feature selection via two-way ordering in gene expression analysis
-
C. Ding, "Unsupervised Feature Selection via Two-Way Ordering in Gene Expression Analysis," Bioinformatics, vol.19, no.10, pp. 1259-1266, 2003.
-
(2003)
Bioinformatics
, vol.19
, Issue.10
, pp. 1259-1266
-
-
Ding, C.1
-
16
-
-
41249089920
-
On the equivalence between non- negative matrix factorization and probabilistic latent semantic indexing
-
C. Ding, T. Li, and W. Peng, "On the Equivalence between Non- Negative Matrix Factorization and Probabilistic Latent Semantic Indexing," Computational Statistics and Data Analysis, vol.52, no.8, pp. 3913-3927, 2008.
-
(2008)
Computational Statistics and Data Analysis
, vol.52
, Issue.8
, pp. 3913-3927
-
-
Ding, C.1
Li, T.2
Peng, W.3
-
17
-
-
33749575326
-
Orthogonal nonnegative matrix tri-factorizations for clustering
-
C. Ding, T. Li, W. Peng, and H. Park, "Orthogonal Nonnegative Matrix Tri-Factorizations for Clustering," Proc. 12th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 126-135, 2006.
-
(2006)
Proc. 12th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining
, pp. 126-135
-
-
Ding, C.1
Li, T.2
Peng, W.3
Park, H.4
-
19
-
-
47949102777
-
Star-structured high-order heterogenous data co-clustering based on consistent information theory
-
B. Gao, T.-Y. Liu, and W.-Y. Mao, "Star-Structured High-Order Heterogenous Data Co-Clustering Based on Consistent Information Theory," Proc. Sixth IEEE Int'l Conf. Data Mining, pp. 880-884, 2006.
-
(2006)
Proc. Sixth IEEE Int'l Conf. Data Mining
, pp. 880-884
-
-
Gao, B.1
Liu, T.-Y.2
Mao, W.-Y.3
-
20
-
-
32344442862
-
Hierarchical taxonomy preparation for text categorization using consistent bipartite spectral graph copartitioning
-
Sept.
-
B. Gao, T.-Y. Liu, G. Feng, T. Qin, Q.-S. Cheng, and W.-Y. Ma, "Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning," IEEE Trans. Knowledge and Data Eng., vol.17, no.9, pp. 1263-1273, Sept. 2005.
-
(2005)
IEEE Trans. Knowledge and Data Eng.
, vol.17
, Issue.9
, pp. 1263-1273
-
-
Gao, B.1
Liu, T.-Y.2
Feng, G.3
Qin, T.4
Cheng, Q.-S.5
Ma, W.-Y.6
-
23
-
-
84880128402
-
Model-based clustering with probabilistic constraints
-
M. Hiu, C. Law, A. Topchy, and A. Jain, "Model-Based Clustering with Probabilistic Constraints," Proc. Fifth SIAM Int'l Conf. Data Mining, pp. 641-645, 2005.
-
(2005)
Proc. Fifth SIAM Int'l Conf. Data Mining
, pp. 641-645
-
-
Hiu, M.1
Law, C.2
Topchy, A.3
Jain, A.4
-
25
-
-
84893405732
-
Data clustering: A review
-
A.K. Jain, M.N. Murty, and P.J. Flynn, "Data Clustering: A Review," ACM Computing Surveys, vol.31, no.3, pp. 264-323, 1999.
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
Flynn, P.J.3
-
27
-
-
0001938951
-
Transductive inference for text classification using support vector machines
-
T. Joachims, "Transductive Inference for Text Classification Using Support Vector Machines," Proc. 16th Int'l Conf. Machine Learning, pp. 200-209, 1999.
-
(1999)
Proc. 16th Int'l Conf. Machine Learning
, pp. 200-209
-
-
Joachims, T.1
-
28
-
-
33750696648
-
Learning systems of concepts with an infinite relational model
-
C. Kemp, J.B. Tenenbaum, T.L. Griffiths, T. Yamada, and N. Ueda, "Learning Systems of Concepts with an Infinite Relational Model," Proc. 21st Nat'l Conf. Artificial Intelligence, 2006.
-
(2006)
Proc. 21st Nat'l Conf. Artificial Intelligence
-
-
Kemp, C.1
Tenenbaum, J.B.2
Griffiths, T.L.3
Yamada, T.4
Ueda, N.5
-
29
-
-
31844447616
-
Semi-supervised graph clustering: A kernel approach
-
B. Kulis, S. Basu, I. Dhillon, and R. Mooney, "Semi-Supervised Graph Clustering: A Kernel Approach," Proc. 22nd Int'l Conf. Machine Learning, pp. 457-464, 2005.
-
(2005)
Proc. 22nd Int'l Conf. Machine Learning
, pp. 457-464
-
-
Kulis, B.1
Basu, S.2
Dhillon, I.3
Mooney, R.4
-
31
-
-
0033592606
-
Learning the parts of objects by non- negative matrix factorization
-
D. Lee and H. Seung, "Learning the Parts of Objects by Non- Negative Matrix Factorization," Nature, vol.401, pp. 788-791, 1999.
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.1
Seung, H.2
-
33
-
-
0036993117
-
Document clustering with cluster refinement and model selection capabilities
-
X. Liu, Y. Gong, W. Xu, and S. Zhu, "Document Clustering with Cluster Refinement and Model Selection Capabilities," Proc. 25th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 191-198, 2002.
-
(2002)
Proc. 25th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval
, pp. 191-198
-
-
Liu, X.1
Gong, Y.2
Xu, W.3
Zhu, S.4
-
34
-
-
33749235905
-
Spectral clustering for multi-type relational data
-
B. Long, X. Wu, Z. Zhang, and P.S. Yu, "Spectral Clustering for Multi-Type Relational Data," Proc. 23rd Int'l Conf. Machine Learning, pp. 585-592, 2006.
-
(2006)
Proc. 23rd Int'l Conf. Machine Learning
, pp. 585-592
-
-
Long, B.1
Wu, X.2
Zhang, Z.3
Yu, P.S.4
-
35
-
-
36849020504
-
A probabilistic framework for relational clustering
-
B. Long, Z. Zhang, and P.S. Yu, "A Probabilistic Framework for Relational Clustering," Proc. 13th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 470-479, 2007.
-
(2007)
Proc. 13th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining
, pp. 470-479
-
-
Long, B.1
Zhang, Z.2
Yu, P.S.3
-
38
-
-
0032455864
-
On image classification: City images vs. landscapes
-
A. Vailaya, A. Jain, and H. Zhang, "On Image Classification: City Images vs. Landscapes," Pattern Recognition, vol.31, no.12, pp. 1921-1935, 1998.
-
(1998)
Pattern Recognition
, vol.31
, Issue.12
, pp. 1921-1935
-
-
Vailaya, A.1
Jain, A.2
Zhang, H.3
-
39
-
-
3543147086
-
Recent trends in hierarchic document clustering: A critical review
-
P. Willett, "Recent Trends in Hierarchic Document Clustering: A Critical Review," Int'l J. Information Processing and Management, vol.24, no.5, pp. 577-597, 1988.
-
(1988)
Int'l J. Information Processing and Management
, vol.24
, Issue.5
, pp. 577-597
-
-
Willett, P.1
-
40
-
-
84879571292
-
Distance metric learning, with application to clustering with side information
-
E.P. Xing, A.Y. Ng, M.I. Jordan, and S. Russell, "Distance Metric Learning, with Application to Clustering with Side Information," Proc. 16th Neural Information Processing Systems, pp. 505-512, 2002.
-
(2002)
Proc. 16th Neural Information Processing Systems
, pp. 505-512
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
41
-
-
1542347778
-
Document clustering based on non- negative matrix factorization
-
W. Xu, X. Liu, and Y. Gong, "Document Clustering Based on Non- Negative Matrix Factorization," Proc. 26th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 267-273, 2003.
-
(2003)
Proc. 26th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval
, pp. 267-273
-
-
Xu, W.1
Liu, X.2
Gong, Y.3
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