-
1
-
-
84893405732
-
Data clustering: A review
-
Jain, A., Murty, M., Flynn, P.: Data clustering: A review. ACM Computing Surveys 31(3), 264-323 (1999)
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.1
Murty, M.2
Flynn, P.3
-
3
-
-
0042377235
-
Constrained K-means clustering with background knowledge
-
Wagstaff, K., Cardie, C., Rogers, S., Schroedl, S.: Constrained K-means clustering with background knowledge. In: 18th Int'l Conf. on Machine Learning, pp. 577-584 (2001)
-
(2001)
18th Int'l Conf. on Machine Learning
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
4
-
-
14344264451
-
Integrating constraints and metric learning in semi-supervised clustering
-
Bilenko, M., Basu, S., Mooney, R.: Integrating constraints and metric learning in semi-supervised clustering. In: 21st Int'l Conf. on Machine Learning, pp. 81-88 (2004)
-
(2004)
21st Int'l Conf. on Machine Learning
, pp. 81-88
-
-
Bilenko, M.1
Basu, S.2
Mooney, R.3
-
5
-
-
12244300524
-
A probabilistic framework for semi-supervised clustering
-
ACM Press, New York
-
Basu, S., Bilenko, M., Mooney, R.: A probabilistic framework for semi-supervised clustering. In: 10th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, pp. 59-68. ACM Press, New York (2004)
-
(2004)
10th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining
, pp. 59-68
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.3
-
6
-
-
84880095768
-
Clustering with constraints: Feasibility issues and the Kmeans algorithm
-
Davidson, I., Ravi, S.: Clustering with constraints: Feasibility issues and the Kmeans algorithm. In: SIAM Int'l Data Mining Conf. (2005)
-
(2005)
SIAM Int'l Data Mining Conf
-
-
Davidson, I.1
Ravi, S.2
-
8
-
-
9444294778
-
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
-
Klein, D., Kamvar, S., Manning, C.: From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In: 19th Int'l Conf. on Machine Learning, pp. 307-314 (2002)
-
(2002)
19th Int'l Conf. on Machine Learning
, pp. 307-314
-
-
Klein, D.1
Kamvar, S.2
Manning, C.3
-
9
-
-
0002343269
-
Top-down induction of clustering trees
-
Blocked, H., De Raedt, L., Ramon, J.: Top-down induction of clustering trees. In: 15th Int'l Conf. on Machine Learning, pp. 55-63 (1998)
-
(1998)
15th Int'l Conf. on Machine Learning
, pp. 55-63
-
-
Blocked, H.1
De Raedt, L.2
Ramon, J.3
-
11
-
-
33745775676
-
Constraint based induction of multi-objective regression trees
-
Revised Selected and Invited Papers, pp
-
Struyf, J., Džeroski, S.: Constraint based induction of multi-objective regression trees. In: 4th Int'l Workshop on Knowledge Discovery in Inductive Databases: Revised Selected and Invited Papers, pp. 222-233 (2006)
-
(2006)
4th Int'l Workshop on Knowledge Discovery in Inductive Databases
, pp. 222-233
-
-
Struyf, J.1
Džeroski, S.2
-
12
-
-
0003500248
-
C4.5: Programs for Machine Learning
-
Morgan Kaufmann, San Francisco 1993
-
Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann Series in Machine Learning. Morgan Kaufmann, San Francisco (1993)
-
Morgan Kaufmann Series in Machine Learning
-
-
Quinlan, J.1
-
13
-
-
0003408496
-
-
University of California, Department of Information and Computer Science, Irvine, CA
-
Merz, C., Murphy, P.: UCI repository of machine learning databases, University of California, Department of Information and Computer Science, Irvine, CA (1996), http://www.ics.uci.edu/~mlearn/MLRepository. html
-
(1996)
UCI repository of machine learning databases
-
-
Merz, C.1
Murphy, P.2
-
14
-
-
33750288047
-
Measuring constraint-set utility for partitional clustering algorithms
-
Davidson, I., Wagstaff, K., Basu, S.: Measuring constraint-set utility for partitional clustering algorithms. In: 10th European Conf. on Principles and Practice of Knowledge Discovery in Databases, pp. 115-126 (2006)
-
(2006)
10th European Conf. on Principles and Practice of Knowledge Discovery in Databases
, pp. 115-126
-
-
Davidson, I.1
Wagstaff, K.2
Basu, S.3
-
15
-
-
3943113604
-
Theoretical comparison between the Gini index and information gain criteria
-
Raileanu, L., Stoffel, K.: Theoretical comparison between the Gini index and information gain criteria. Annals of Mathematics and Artificial Intelligence 41(1), 77-93 (2004)
-
(2004)
Annals of Mathematics and Artificial Intelligence
, vol.41
, Issue.1
, pp. 77-93
-
-
Raileanu, L.1
Stoffel, K.2
-
16
-
-
38049108305
-
Beam search induction and similarity constraints for predictive clustering trees
-
Revised Selected and Invited Papers to appear
-
Kocev, D., Struyf, J., Džeroski, S.: Beam search induction and similarity constraints for predictive clustering trees. In: 5th Int'l Workshop on Knowledge Discovery in Inductive Databases: Revised Selected and Invited Papers (to appear, 2007)
-
(2007)
5th Int'l Workshop on Knowledge Discovery in Inductive Databases
-
-
Kocev, D.1
Struyf, J.2
Džeroski, S.3
|