-
1
-
-
1942517347
-
-
A. Bar-Hillel, T. Hertz, N. Shental, D. Weinshall, Learning distance functions using equivalence relations, in: Proceedings of the 12th International Conference on Machine Learning, 2003, pp. 11-18.
-
A. Bar-Hillel, T. Hertz, N. Shental, D. Weinshall, Learning distance functions using equivalence relations, in: Proceedings of the 12th International Conference on Machine Learning, 2003, pp. 11-18.
-
-
-
-
2
-
-
56249115277
-
-
S. Basu, A. Banerjee, R.J. Mooney, Semi-supervised clustering by seeding, in: Proceedings of the 19th International conference on Machine Learning, 2002, pp. 27-34.
-
S. Basu, A. Banerjee, R.J. Mooney, Semi-supervised clustering by seeding, in: Proceedings of the 19th International conference on Machine Learning, 2002, pp. 27-34.
-
-
-
-
3
-
-
2942534529
-
-
S. Basu, A. Banerjee, R.J. Mooney. Active semi-supervision for pairwise constrained clustering, in: Proceedings of the SIAM International Conference on Data Mining, 2004, pp. 333-344.
-
S. Basu, A. Banerjee, R.J. Mooney. Active semi-supervision for pairwise constrained clustering, in: Proceedings of the SIAM International Conference on Data Mining, 2004, pp. 333-344.
-
-
-
-
4
-
-
12244300524
-
-
S. Basu, M. Bilenko, R.J. Mooney, A probabilistic framework for semi-supervised clustering, in: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004, pp. 59-68.
-
S. Basu, M. Bilenko, R.J. Mooney, A probabilistic framework for semi-supervised clustering, in: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004, pp. 59-68.
-
-
-
-
5
-
-
14344264451
-
-
M. Bilenko, S. Basu, R.J. Mooney, Integrating constraints and metric learning in semi-supervised clustering, in: Proceedings of the International Conference on Machine Learning, 2004, pp. 81-88.
-
M. Bilenko, S. Basu, R.J. Mooney, Integrating constraints and metric learning in semi-supervised clustering, in: Proceedings of the International Conference on Machine Learning, 2004, pp. 81-88.
-
-
-
-
7
-
-
33646084850
-
Locally linear metric adaptation for semi-supervised clustering and image retrieval
-
Chang H., and Yeung D.Y. Locally linear metric adaptation for semi-supervised clustering and image retrieval. Pattern Recognition 39 7 (2006) 1253-1264
-
(2006)
Pattern Recognition
, vol.39
, Issue.7
, pp. 1253-1264
-
-
Chang, H.1
Yeung, D.Y.2
-
8
-
-
56249091818
-
-
D. Cohn, R. Caruana, A. McCallum, Semi-supervised clustering with user feedback, Technical Report TR2003-1892, Cornell University, 2003.
-
D. Cohn, R. Caruana, A. McCallum, Semi-supervised clustering with user feedback, Technical Report TR2003-1892, Cornell University, 2003.
-
-
-
-
10
-
-
84880095768
-
-
I. Davidson, S. Ravi, Clustering with constraints: feasibility issues and the k-means algorithm, in: Proceedings of the SIAM International Conference on Data Mining, 2005, pp. 138-149.
-
I. Davidson, S. Ravi, Clustering with constraints: feasibility issues and the k-means algorithm, in: Proceedings of the SIAM International Conference on Data Mining, 2005, pp. 138-149.
-
-
-
-
11
-
-
0034824884
-
Concept decompositions for large sparse text data using clustering
-
Dhillon I.S., and Modha D.S. Concept decompositions for large sparse text data using clustering. Machine Learning 42 1 (2001) 143-175
-
(2001)
Machine Learning
, vol.42
, Issue.1
, pp. 143-175
-
-
Dhillon, I.S.1
Modha, D.S.2
-
12
-
-
33751384621
-
-
R. Huang, Z. Zhang, W. Lam, Text clustering with limited user feedback under local metric learning, in: Proceedings of Asia Information Retrieval Symposium (AIRS), 2006, pp. 132-144.
-
R. Huang, Z. Zhang, W. Lam, Text clustering with limited user feedback under local metric learning, in: Proceedings of Asia Information Retrieval Symposium (AIRS), 2006, pp. 132-144.
-
-
-
-
13
-
-
56249111008
-
-
D. Klein, S.D. Kamvar, C. Manning, From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering, in: Proceedings of the 19th International Conference on Machine Learning, 2002, pp. 307-314.
-
D. Klein, S.D. Kamvar, C. Manning, From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering, in: Proceedings of the 19th International Conference on Machine Learning, 2002, pp. 307-314.
-
-
-
-
14
-
-
34548562145
-
-
N. Kumar, K. Kummamuru, D. Paranjpe, Semi-supervised clustering with metric learning using relative comparisons, in: Proceedings of 5th IEEE International Conference on Data Mining, 2005, pp. 693-696.
-
N. Kumar, K. Kummamuru, D. Paranjpe, Semi-supervised clustering with metric learning using relative comparisons, in: Proceedings of 5th IEEE International Conference on Data Mining, 2005, pp. 693-696.
-
-
-
-
15
-
-
36049012687
-
Text document clustering based on frequent word meaning sequences
-
Li Y., Chung S.M., and Holt J.D. Text document clustering based on frequent word meaning sequences. Data and Knowledge Engineering 64 (2008) 381-404
-
(2008)
Data and Knowledge Engineering
, vol.64
, pp. 381-404
-
-
Li, Y.1
Chung, S.M.2
Holt, J.D.3
-
16
-
-
56249097308
-
-
National Institute of Standards, The 2002 Topic Detection and Tracking Task Definition and Evaluation Plan, 2002. .
-
National Institute of Standards, The 2002 Topic Detection and Tracking Task Definition and Evaluation Plan, 2002. .
-
-
-
-
17
-
-
56249092849
-
-
K. Nigam, A. McCallum, Pool-based active learning for text classification, in: Workshop on Learning from Text and the Web, Conference on Automated Learning and Discovery, 1998.
-
K. Nigam, A. McCallum, Pool-based active learning for text classification, in: Workshop on Learning from Text and the Web, Conference on Automated Learning and Discovery, 1998.
-
-
-
-
18
-
-
0032268440
-
-
J. Pone, W.B. Croft, A language modeling approach to information retrieval, in: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998, pp. 275-281.
-
J. Pone, W.B. Croft, A language modeling approach to information retrieval, in: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998, pp. 275-281.
-
-
-
-
19
-
-
84880733494
-
-
T. Rose, M. Stevenson, M. Whitehea, The reuters corpus volume 1- from yesterday's news to tomorrow's language resources, in: Proceedings of 3rd International Conference on Language Resources and Evaluation, 2002, pp. 29-31.
-
T. Rose, M. Stevenson, M. Whitehea, The reuters corpus volume 1- from yesterday's news to tomorrow's language resources, in: Proceedings of 3rd International Conference on Language Resources and Evaluation, 2002, pp. 29-31.
-
-
-
-
20
-
-
56249123343
-
-
M. Steinback, G. Karypis, V. Kumar, A comparison of document clustering techniques, in: KDD Workshop on Text Mining, 2000.
-
M. Steinback, G. Karypis, V. Kumar, A comparison of document clustering techniques, in: KDD Workshop on Text Mining, 2000.
-
-
-
-
21
-
-
56249146388
-
-
A. Strehl, J. Ghosh, R. Mooney, Impact of similarity measures on web-page clustering, in: Workshop on Artificial Intelligence for Web Search (AAAI 2000), 2000, p. 58-64.
-
A. Strehl, J. Ghosh, R. Mooney, Impact of similarity measures on web-page clustering, in: Workshop on Artificial Intelligence for Web Search (AAAI 2000), 2000, p. 58-64.
-
-
-
-
22
-
-
56249141885
-
-
K. Wagstaff, C. Cardie, Clustering with instance-level constraints, in: Proceedings of the 17th International Conference on Machine Learning, 2000, pp. 1103-1110.
-
K. Wagstaff, C. Cardie, Clustering with instance-level constraints, in: Proceedings of the 17th International Conference on Machine Learning, 2000, pp. 1103-1110.
-
-
-
-
23
-
-
84879571292
-
Distance metric learning, with application to clustering with side-information
-
Xing E.P., Ng A.Y., Jordan M., and Russell S. Distance metric learning, with application to clustering with side-information. Advances in NIPS 15 (2003) 521-528
-
(2003)
Advances in NIPS
, vol.15
, pp. 521-528
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.3
Russell, S.4
-
24
-
-
33750297659
-
-
B. Yan, C. Domeniconi, Subspace metric ensembles for semi-supervised clustering of high dimensional data, in: Proceedings of the 17th European Conference on Machine Learning, 2006, pp. 509-520.
-
B. Yan, C. Domeniconi, Subspace metric ensembles for semi-supervised clustering of high dimensional data, in: Proceedings of the 17th European Conference on Machine Learning, 2006, pp. 509-520.
-
-
-
-
25
-
-
3042824043
-
A study of smoothing methods for language models applied to information retrieval
-
Zhai C., and Lafferty J. A study of smoothing methods for language models applied to information retrieval. ACM Transactions on Information Systems 22 (2004) 179-214
-
(2004)
ACM Transactions on Information Systems
, vol.22
, pp. 179-214
-
-
Zhai, C.1
Lafferty, J.2
-
26
-
-
24044537630
-
Hierarchical clustering algorithms for document datasets
-
Zhao Y., and Karypis G. Hierarchical clustering algorithms for document datasets. Data Mining and Knowledge Discovery 10 (2005) 141-168
-
(2005)
Data Mining and Knowledge Discovery
, vol.10
, pp. 141-168
-
-
Zhao, Y.1
Karypis, G.2
-
27
-
-
33749013037
-
Semi-supervised model-based document clustering: a comparative study
-
Zhong S. Semi-supervised model-based document clustering: a comparative study. Machine Learning 65 (2006) 3-29
-
(2006)
Machine Learning
, vol.65
, pp. 3-29
-
-
Zhong, S.1
|