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Bilenko, M.; Basu, S. & Mooney, R. J.
Integrating constraints and metric learning in semi-supervised clustering.
2004

Inproceedings (conf/pkdd/DavidsonR05)
Davidson, I. & Ravi, S. S.
Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results.
2005, 59-70

Inproceedings (conf/icdm/GondekH04)
Gondek, D. & Hofmann, T.
Non-Redundant Data Clustering.
2004, 75-82

Misc (citeulike:112870)
Klein, D.; Kamvar, S. & Manning, C.
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
2002

Inproceedings (conf/sigmod/NgLHP98)
Ng, R. T.; Lakshmanan, L. V. S.; Han, J. & Pang, A.
Exploratory Mining and Pruning Optimizations of Constrained Association Rules.
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Inproceedings (conf/icdt/KungNLH01)
Tung, A. K. H.; Ng, R. T.; Lakshmanan, L. V. S. & Han, J.
Constraint-based clustering in large databases.
2001, 405-419

Proceedings (citeulike:112869)
Wagstaff, K. & Cardie, C.
Clustering with instance-level constraints
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Inproceedings (conf/icml/WagstaffCRS01)
Wagstaff, K.; Cardie, C.; Rogers, S. & Schrödl, S.
Constrained K-means Clustering with Background Knowledge.
2001, 577-584

Inproceedings (xing03distance)
Xing, E.; Ng, A.; Jordan, M. & Russell, S.
Distance metric learning, with application to clustering with side-information
2003