-
1
-
-
0042377235
-
Constrained fc-means clustering with background knowledge
-
Brodley, C, Danyluk, A, eds, Morgan Kaufmann, San Francisco
-
Wagstaff, K., Cardie, C., Rogers, S., Schroedl, S.: Constrained fc-means clustering with background knowledge. In: Brodley, C., Danyluk, A. (eds.) Proceeding of the 17th International Conference on Machine Learning, Morgan Kaufmann, San Francisco (2001)
-
(2001)
Proceeding of the 17th International Conference on Machine Learning
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
2
-
-
38049108303
-
Structuring continuous video recordings of everyday life using time-constrained clustering
-
San Jose, CA January
-
Lin, W.-H., Hauptmann, A.: Structuring continuous video recordings of everyday life using time-constrained clustering. In: IS&T/SPIE Symposium on Electronic Imaging, San Jose, CA (January 2006)
-
(2006)
IS&T/SPIE Symposium on Electronic Imaging
-
-
Lin, W.-H.1
Hauptmann, A.2
-
3
-
-
0042440883
-
Enhancing image and video retrieval: Learning via equivalence constraints
-
IEEE Computer Society Press, Los Alamitos
-
Hertz, T., Shental, N., Bar-Hillel, A., Weinshall, D.: Enhancing image and video retrieval: Learning via equivalence constraints. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society Press, Los Alamitos (2003)
-
(2003)
Proc. of IEEE Conference on Computer Vision and Pattern Recognition
-
-
Hertz, T.1
Shental, N.2
Bar-Hillel, A.3
Weinshall, D.4
-
4
-
-
84880095768
-
Clustering with constraints: Feasibility issues and the k-means algorithm
-
Davidson, I., Ravi, S.S.: Clustering with constraints: Feasibility issues and the k-means algorithm. In: 5th SIAM Data Mining Conference (2005)
-
(2005)
5th SIAM Data Mining Conference
-
-
Davidson, I.1
Ravi, S.S.2
-
5
-
-
84958670895
-
Grouping with directed relationships
-
Figueiredo, M, Zerubia, J, Jain, A.K, eds, EMMCVPR 2001, Springer, Heidelberg
-
Yu, S.X., Shi, J.: Grouping with directed relationships. In: Figueiredo, M., Zerubia, J., Jain, A.K. (eds.) EMMCVPR 2001. LNCS, vol. 2134, Springer, Heidelberg (2001)
-
(2001)
LNCS
, vol.2134
-
-
Yu, S.X.1
Shi, J.2
-
6
-
-
9444230302
-
Semi-supervised clustering with user feedback
-
Technical report, Cornell University, TR2003-1892
-
Cohn, D., Caruana, R., McCallum, A.: Semi-supervised clustering with user feedback. Technical report, Cornell University, TR2003-1892 (2003)
-
(2003)
-
-
Cohn, D.1
Caruana, R.2
McCallum, A.3
-
7
-
-
12244300524
-
A probabilistic framework for semi-supervised clustering
-
Kim, W, Kohavi, R, Gehrke, J, DuMouchel, W, eds, Seattle, WA, pp, ACM Press, New York
-
Basu, S., Bilenko, M., Mooney, R.J.: A probabilistic framework for semi-supervised clustering. In: Kim, W., Kohavi, R., Gehrke, J., DuMouchel, W. (eds.) Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, pp. 59-68. ACM Press, New York (2004)
-
(2004)
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 59-68
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.J.3
-
8
-
-
37149035843
-
Clustering with constraints: Theory and practice
-
Basu, S., Davidson, I.: Clustering with constraints: Theory and practice. In: Online Proceedings of a KDD tutorial (2006), http://www.ai.sri.com/~basu/ kdd-tutorial-2006/
-
(2006)
Online Proceedings of a KDD tutorial
-
-
Basu, S.1
Davidson, I.2
-
10
-
-
33750288047
-
-
Davidson, I., Wagstaff, K., Basu, S.: Measuring constraint-set utility for partitional clustering algorithms. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), 4213, pp. 115-126. Springer, Heidelberg (2006)
-
Davidson, I., Wagstaff, K., Basu, S.: Measuring constraint-set utility for partitional clustering algorithms. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol. 4213, pp. 115-126. Springer, Heidelberg (2006)
-
-
-
-
11
-
-
38049158316
-
D.: K-means with large and noisy constraint sets
-
Technical Report H-0253, IBM
-
Pelleg, D., Baras, D.: k-means with large and noisy constraint sets. Technical Report H-0253, IBM (2007)
-
(2007)
-
-
Pelleg, D.1
Baras2
-
12
-
-
14344264451
-
-
Bilenko, M., Basu, S., Mooney, R. J.: Integrating constraints and metric learning in semi-supervised clustering. In: Brodley, C.E. (ed.) ICML, ACM, New York (2004)
-
Bilenko, M., Basu, S., Mooney, R. J.: Integrating constraints and metric learning in semi-supervised clustering. In: Brodley, C.E. (ed.) ICML, ACM, New York (2004)
-
-
-
-
13
-
-
38049144739
-
-
Davidson, I., Ravi, S.S.: Intractability and clustering with constraints. In: ICML (2007)
-
Davidson, I., Ravi, S.S.: Intractability and clustering with constraints. In: ICML (2007)
-
-
-
|