Discriminative Approach to Semi-Supervised Clustering release_sh7f7yvjn5gaxazp2gdny433vq

by MarekĀ“smieja MarekĀ“smieja


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Showing 1 - 9 of 9 references (in 86ms)

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Constrained clustering: Advances in algorithms, theory, and applications
S Basu , I Davidson , K Wagstaff

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Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2003   Neural Information Processing Systems

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Integrating constraints and metric learning in semi-supervised clustering
Mikhail Bilenko, Sugato Basu, Raymond J. Mooney
2004   International Conference on Machine Learning
doi:10.1145/1015330.1015360  dblp:conf/icml/BilenkoBM04 
web.archive.org [PDF]

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UCI machine learning repository
M Lichman

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Comparing partitions
Lawrence Hubert, Phipps Arabie
1985   Journal of Classification
web.archive.org [PDF]

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Comparing clustering with pairwise and relative constraints: A unified framework
Y Pei , X Fern , T Tjahja , R Rosales

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Affinity and penalty jointly constrained spectral clustering with all-compatibility, flexibility, and robustness
P Qian

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Distance Metric Learning with Application to Clustering with Side-Information
Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell
2002   Neural Information Processing Systems

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Information-theoretic metric learning
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon
2007   International Conference on Machine Learning
doi:10.1145/1273496.1273523  dblp:conf/icml/DavisKJSD07 
web.archive.org [PDF]