-
1
-
-
12244279779
-
Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering
-
[BBM03], Washington DC, August
-
[BBM03] Basu, S., Bilenko,M., Mooney, R. "Comparing and Unifying Search-based and Similarity-Based Approaches to Semi-Supervised Clustering", in Proc. ICML03, pp. 42-29, Washington DC, August 2003.
-
(2003)
Proc. ICML03
, pp. 42-129
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.3
-
2
-
-
1942517347
-
Learning distance functions using equivalence relations
-
[BHSW03], Washington DC, August
-
[BHSW03] Bar-Hillel, A., Hertz, T., Shental, N., Weinshall, D. "Learning Distance Functions Using Equivalence Relations", in Proc. ICML03, Washington DC, August 2003.
-
(2003)
Proc. ICML03
-
-
Bar-Hillel, A.1
Hertz, T.2
Shental, N.3
Weinshall, D.4
-
4
-
-
16244368962
-
-
[ERCBV04], submitted for publication
-
[ERCBV04] Eick, C., Rouhana, A., Chen, C., Bagheriran, A., Vilalta, R. "Using Clustering to Learn Distance Functions for Supervised Similarity Assessment", submitted for publication.
-
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
-
-
Eick, C.1
Rouhana, A.2
Chen, C.3
Bagheriran, A.4
Vilalta, R.5
-
5
-
-
16244377265
-
Using representative-based clustering for nearest neighbor dataset editing
-
[EZV04]
-
[EZV04]: "Using Representative-Based Clustering for Nearest Neighbor Dataset Editing". → ICDM'04
-
ICDM'04
-
-
-
6
-
-
9444294778
-
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
-
[KKM02], Sydney, Australia
-
[KKM02] Klein,D., Kamvar,S.-D., Manning, C. "From instance-level Constraints to Space-level Constraints: Making the Most of Prior Knowledge in Data Clustering", in Proc. ICML'02, Sydney, Australia.
-
Proc. ICML'02
-
-
Klein, D.1
Kamvar, S.-D.2
Manning, C.3
-
8
-
-
16244373223
-
Discriminative clustering: Optimal contingency tables by learning metrics
-
[SKN02]
-
[SKN02] Sinkkonen, J., Kaski, S., and Nikkila, J., "Discriminative Clustering: Optimal Contingency Tables by Learning Metrics ", ECML '02.
-
ECML '02
-
-
Sinkkonen, J.1
Kaski, S.2
Nikkila, J.3
-
10
-
-
34250666040
-
-
[UCIMLR] University of California at Irving
-
[UCIMLR] University of California at Irving, Machine Learning Repository, http://www.ics.uci.edu/~mlearn/MLRepository.html
-
Machine Learning Repository
-
-
-
11
-
-
70449614555
-
Piece-wise model fitting using local data patterns
-
[VAE04], to appear, Valencia, Spain, August
-
[VAE04] Vilalta, R., Achari, M., Eick C. "Piece-Wise Model Fitting Using Local Data Patterns", to appear in Proceedings European Conference on Artificial Intelligence (ECAI), Valencia, Spain, August 2004.
-
(2004)
Proceedings European Conference on Artificial Intelligence (ECAI)
-
-
Vilalta, R.1
Achari, M.2
Eick, C.3
-
12
-
-
0015361129
-
Asymptotic properties of nearest neighbor rules using edited data
-
[W72]
-
[W72] Wilson, D.L., "Asymptotic Properties of Nearest Neighbor Rules Using Edited Data", IEEE Transactions on Systems, Man, and Cybernetics, 2:408-420, 1972.
-
(1972)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.2
, pp. 408-420
-
-
Wilson, D.L.1
-
13
-
-
84879571292
-
Distance metric learning with applications to clustering with side information
-
[XNJ03], MIT Press
-
[XNJ03] Xing, E.P., Ng A., Jordan, M., Russell, S. "Distance Metric Learning with Applications to Clustering with Side Information", Advances in Neural Information Processing 15, MIT Press, 2003.
-
(2003)
Advances in Neural Information Processing
, vol.15
-
-
Xing, E.P.1
Ng, A.2
Jordan, M.3
Russell, S.4
-
14
-
-
16244404789
-
-
[Z04], Master's Thesis, University of Houston, Department of Computer Science, May, cs.uh.edu/~zhenzhao/ZhenghongThesis.zip
-
[Z04] Zhao, Z., "Evolutionary Computing and Splitting Algorithms for Supervised Clustering", Master's Thesis, University of Houston, Department of Computer Science, May 2004, cs.uh.edu/~zhenzhao/ZhenghongThesis.zip.
-
(2004)
Evolutionary Computing and Splitting Algorithms for Supervised Clustering
-
-
Zhao, Z.1
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