-
1
-
-
0015644825
-
A Fuzzy Relative of the ISODATA Process and its use in detecting compact, well-separated clusters
-
Dunn J C. A Fuzzy Relative of the ISODATA Process and its use in detecting compact, well-separated clusters. [J] Cybern, 3 (1): 32-57, 1974.
-
(1974)
J] Cybern
, vol.3
, Issue.1
, pp. 32-57
-
-
Dunn, J.C.1
-
2
-
-
29944447410
-
A fuzzy C-means (FCM) based approach for computerized segmentation of breast lesions in dynamic contrast enhanced MR images [J]
-
Chen Weijie, MSC MARYELL EN L. A fuzzy C-means (FCM) based approach for computerized segmentation of breast lesions in dynamic contrast enhanced MR images [J]. Academic Radiology, 13 (1): 63-72, 2006.
-
(2006)
Academic Radiology
, vol.13
, Issue.1
, pp. 63-72
-
-
Chen Weijie, M.S.C.1
MARYELL, E.L.2
-
3
-
-
33644859270
-
Texture image segmentation using combined features from spatial and spectral distribution [J]
-
Muneeswaran K, Ganesan, Arumugam S. Texture image segmentation using combined features from spatial and spectral distribution [J]. Pattern Recognition letters, 27: 755-764. 2006
-
(2006)
Pattern Recognition letters
, vol.27
, pp. 755-764
-
-
Muneeswaran, K.1
Ganesan2
Arumugam, S.3
-
7
-
-
38349172078
-
-
Nizar Grira, Michel Crucianu, Nozha Boujemaa. Active semi-supervised fuzzy clustering. Pattern Recognition 41.1834-1844.2008
-
Nizar Grira, Michel Crucianu, Nozha Boujemaa. Active semi-supervised fuzzy clustering. Pattern Recognition 41.1834-1844.2008
-
-
-
-
9
-
-
33646895693
-
Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data
-
Huang D, Pan W. Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data. Bioinformatics 2006; 22(10): 1259-68.
-
(2006)
Bioinformatics
, vol.22
, Issue.10
, pp. 1259-1268
-
-
Huang, D.1
Pan, W.2
-
10
-
-
56249141770
-
-
R. Huang, W. Lam, An active learning framework for semi-supervised document clustering with language modeling, Data & Knowledge. Engineering. doi: 10. 1016/j.datak. 008.08.008.
-
R. Huang, W. Lam, An active learning framework for semi-supervised document clustering with language modeling, Data & Knowledge. Engineering. doi: 10. 1016/j.datak. 008.08.008.
-
-
-
-
11
-
-
34548118248
-
-
Jeffrey Erman, Anirban Mahanti, Martin Arlitt, Ira Cohen, and Carey Williamson. Offline/Realtime traffic classification using semi-supervised learning. Perform. Evaluation, 64(9-12): 1194-1213.2007
-
Jeffrey Erman, Anirban Mahanti, Martin Arlitt, Ira Cohen, and Carey Williamson. Offline/Realtime traffic classification using semi-supervised learning. Perform. Evaluation, 64(9-12): 1194-1213.2007
-
-
-
-
13
-
-
0042377235
-
Constrained K-means Clustering with Background Knowledge
-
K. Wagstaff, C Cardie, S Rogers and S. Schroedl, Constrained K-means Clustering with Background Knowledge, In: Proc. of 18th International Conference on Machine Learning, 577-584. 2001
-
(2001)
Proc. of 18th International Conference on Machine Learning
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
15
-
-
9444230302
-
Semi-supervised clustering with user feedback
-
Technical Report TR2003-1892, Cornell University
-
D. Cohn, R. Caruana, and A. McCallum. Semi-supervised clustering with user feedback. Technical Report TR2003-1892, Cornell University, 2003.
-
(2003)
-
-
Cohn, D.1
Caruana, R.2
McCallum, A.3
-
17
-
-
84879571292
-
Distance metric learning, with application to clustering with side-information
-
Cambridge, MA, MIT Press
-
E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell. Distance metric learning, with application to clustering with side-information. In Advances in Neural Information Processing Systems 15 Cambridge, MA, 2003. MIT Press. 505-512.
-
(2003)
Advances in Neural Information Processing Systems
, vol.15
, pp. 505-512
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
19
-
-
12244300524
-
A probabilistic framework for semi-supervised clustering
-
Basu, S, Bilenko, M., Mooney, R. J. A probabilistic framework for semi-supervised clustering. International Conference on Knowledge Discovery and Data Mining, 59-68.2004
-
(2004)
International Conference on Knowledge Discovery and Data Mining
, pp. 59-68
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.J.3
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