-
1
-
-
54249110594
-
Mixed membership stochastic blockmodels
-
Airoldi, E. M., Blei, D. M., Fienberg, S. E., and Xing, E. P. 2008. Mixed membership stochastic blockmodels. J. Mach. Learn. Res. 9, 1981-2014.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1981-2014
-
-
Airoldi, E.M.1
Blei, D.M.2
Fienberg, S.E.3
Xing, E.P.4
-
2
-
-
26244461684
-
Clustering with bregman divergences
-
Banerjee, A., Merugu, S., Dhillon, I. S., and Ghosh, J. 2005. Clustering with Bregman divergences. J. Mach. Learn. Res. 6, 1705-1749.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.S.3
Ghosh, J.4
-
3
-
-
21844457672
-
Learning a Mahalanobis metric from equivalence constraints
-
Bar-Hillel, A., Hertz, T., Shental, N., and Weinshall, D. 2005. Learning a Mahalanobis metric from equivalence constraints. J. Mach. Learn. Res. 6, 937-965.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 937-965
-
-
Bar-Hillel, A.1
Hertz, T.2
Shental, N.3
Weinshall, D.4
-
8
-
-
2942723846
-
A divisive information-theoretic feature clustering algorithm for text classification
-
Dhillon, I. S., Mallela, S., and Kumar, R. 2003. A divisive information-theoretic feature clustering algorithm for text classification. J. Mach. Learn. Res. 3, 1265-1287.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1265-1287
-
-
Dhillon, I.S.1
Mallela, S.2
Kumar, R.3
-
9
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon, I. and Elisseeff, A. 2003. An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157-1182.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
11
-
-
31844447616
-
Semi-supervised graph clustering: A kernel approach
-
DOI 10.1145/1102351.1102409, ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
-
Kulis, B., Basu, S., Dhillon, I., and Mooney, R. 2005. Semi-supervised graph clustering: A kernel approach. In Proceedings of the 22nd International Conference on Machine Learning (ICML). 457-464. (Pubitemid 43183366)
-
(2005)
ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
, pp. 457-464
-
-
Kulis, B.1
Basu, S.2
Dhillon, I.3
Mooney, R.4
-
13
-
-
33749235905
-
Spectral clustering for multi-type relational data
-
Long, B., Zhang, Z. M., Wu, X., and Yu, P. S. 2006. Spectral clustering for multi-type relational data. In Proceedings of the 23rd International Conference on Machine Learning (ICML). 585-592.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning (ICML)
, pp. 585-592
-
-
Long, B.1
Zhang, Z.M.2
Wu, X.3
Yu, P.S.4
-
14
-
-
36849020504
-
A probabilistic framework for relational clustering
-
DOI 10.1145/1281192.1281244, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
Long, B., Zhang, Z. M., and Yu, P. S. 2007. A probabilistic framework for relational clustering. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 470-479. (Pubitemid 350229232)
-
(2007)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 470-479
-
-
Long, B.1
Zhang, Z.M.2
Yu, P.S.3
-
15
-
-
34548583274
-
A tutorial on spectral clustering
-
Luxburg, U. 2007. A tutorial on spectral clustering. Statist. Comput. 17, 395-416.
-
(2007)
Statist. Comput.
, vol.17
, pp. 395-416
-
-
Luxburg, U.1
-
16
-
-
42749100809
-
Fast algorithm for detecting community structure in networks
-
Newman, M. E. J. 2004. Fast algorithm for detecting community structure in networks. Phys. Rev. E 69, 6.
-
(2004)
Phys. Rev. E
, vol.69
, pp. 6
-
-
Newman, M.E.J.1
-
17
-
-
37649028224
-
Finding and evaluating community structure in networks
-
Newman, M. E. J. and Girvan, M. 2004. Finding and evaluating community structure in networks. Phys. Rev. E 69, 2.
-
(2004)
Phys. Rev. E
, vol.69
, pp. 2
-
-
Newman, M.E.J.1
Girvan, M.2
-
18
-
-
49749128817
-
Consensus-based ensembles of soft clusterings
-
Punera, K. and Ghosh, J. 2008. Consensus-based ensembles of soft clusterings. Appl. Artif. Intell. 22, 780-810.
-
(2008)
Appl. Artif. Intell.
, vol.22
, pp. 780-810
-
-
Punera, K.1
Ghosh, J.2
-
20
-
-
0041965980
-
Cluster ensembles-A knowledge reuse framework for combining multiple partitions
-
Strehl, A., Ghosh, J., and Cardie, C. 2002. Cluster ensembles-A knowledge reuse framework for combining multiple partitions. J. Mach. Learn. Res. 3, 583-617.
-
(2002)
J. Mach. Learn. Res.
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
Cardie, C.3
-
21
-
-
70349121194
-
Rankclus: Integrating clustering with ranking for heterogeneous information network analysis
-
Sun, Y., Han, J., Zhao, P., Yi, N. Z., Cheng, H., and Wu, T. 2009a. Rankclus: Integrating clustering with ranking for heterogeneous information network analysis. In Proceedings of the 12th International Conference on Extending Database Technology (EDBT). 565-576.
-
(2009)
Proceedings of the 12th International Conference on Extending Database Technology (EDBT)
, pp. 565-576
-
-
Sun, Y.1
Han, J.2
Zhao, P.3
Yi, N.Z.4
Cheng, H.5
Wu, T.6
-
23
-
-
83255185987
-
Pathsim: Meta path-based top-k similarity search in heterogeneous information networks
-
Sun, Y., Han, J., Yan, X., Yu, P. S., and Wu, T. 2011. Pathsim: Meta path-based top-k similarity search in heterogeneous information networks. In Proceedings of International Conference on Very Large Data Bases (VLDB). 992-1003.
-
(2011)
Proceedings of International Conference on Very Large Data Bases (VLDB)
, pp. 992-1003
-
-
Sun, Y.1
Han, J.2
Yan, X.3
Yu, P.S.4
Wu, T.5
-
24
-
-
84866039277
-
Integrating meta-path selection with user guided object clustering in heterogeneous information networks
-
Sun, Y., Norick, B., Han, J., Yan, X., Yu, P. S., and Yu, X. 2012. Integrating meta-path selection with user guided object clustering in heterogeneous information networks. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 1348-1356.
-
(2012)
Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 1348-1356
-
-
Sun, Y.1
Norick, B.2
Han, J.3
Yan, X.4
Yu, P.S.5
Yu, X.6
-
25
-
-
79960845914
-
Community discovery using nonnegative matrix factorization
-
Wang, F., Li, T., Wang, X., Zhu, S., and Ding, C. 2011. Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22, 3, 493-521.
-
(2011)
Data Min. Knowl. Discov.
, vol.22
, Issue.3
, pp. 493-521
-
-
Wang, F.1
Li, T.2
Wang, X.3
Zhu, S.4
Ding, C.5
-
26
-
-
57149125154
-
CSV: Visualizing and mining cohesive subgraphs
-
Wang, N., Parthasarathy, S., Tan, K.-L., and Tung, A. K. H. 2008. CSV: Visualizing and mining cohesive subgraphs. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD). 445-458.
-
(2008)
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
, pp. 445-458
-
-
Wang, N.1
Parthasarathy, S.2
Tan, K.-L.3
Tung, A.K.H.4
-
27
-
-
36949010345
-
SCAN: A structural clustering algorithm for networks
-
DOI 10.1145/1281192.1281280, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
Xu, X., Yuruk, N., Feng, Z., and Schweiger, T. A. J. 2007. Scan: A structural clustering algorithm for networks. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 824-833. (Pubitemid 350237348)
-
(2007)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 824-833
-
-
Xu, X.1
Yuruk, N.2
Feng, Z.3
Schweiger, T.A.J.4
-
28
-
-
77954565155
-
Discriminative semi-supervised feature selection via manifold regularization
-
Xu, Z., King, I., Lyu, M. R.-T., and Jin, R. 2010. Discriminative semi-supervised feature selection via manifold regularization. Trans. Neur. Netw. 21, 1033-1047.
-
(2010)
Trans. Neur. Netw.
, vol.21
, pp. 1033-1047
-
-
Xu, Z.1
King, I.2
Lyu, M.R.-T.3
Jin, R.4
-
29
-
-
35548932004
-
Crossclus: User-guided multirelational clustering
-
Yin, X., Han, J., and Yu, P. S. 2007. Crossclus: User-guided multirelational clustering. Data Min. Knowl. Discov. 15, 3, 321-348.
-
(2007)
Data Min. Knowl. Discov.
, vol.15
, Issue.3
, pp. 321-348
-
-
Yin, X.1
Han, J.2
Yu, P.S.3
|