-
3
-
-
73049091496
-
-
P. Berkhin. Survey of clustering data mining techniques, Technical Report, Accrue Software, San Jose, CA, 2002.
-
P. Berkhin. Survey of clustering data mining techniques, Technical Report, Accrue Software, San Jose, CA, 2002.
-
-
-
-
7
-
-
33750330972
-
Cascade evaluation of clustering algorithms
-
Springer, Berlin/Heidelberg
-
Candillier L., Tellier I., Torre F., and Bousquet O. Cascade evaluation of clustering algorithms. European Conference on Machine Learning vol. 4212 (2006), Springer, Berlin/Heidelberg 574-581
-
(2006)
European Conference on Machine Learning
, vol.4212
, pp. 574-581
-
-
Candillier, L.1
Tellier, I.2
Torre, F.3
Bousquet, O.4
-
8
-
-
0041965980
-
Cluster ensembles - a knowledge reuse framework for combining multiple partitions
-
Strehl A., and Ghosh J. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research 3 (2002) 583-617
-
(2002)
Journal on Machine Learning Research
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
12
-
-
37249091982
-
Selecting diversifying heuristics for cluster ensembles
-
S.T. Hadjitodorov, L.I. Kuncheva, Selecting diversifying heuristics for cluster ensembles, in: International Workshop on Multiple Classifier Systems, vol. 4472, 2007, pp. 200-209.
-
(2007)
International Workshop on Multiple Classifier Systems
, vol.4472
, pp. 200-209
-
-
Hadjitodorov, S.T.1
Kuncheva, L.I.2
-
15
-
-
34548569516
-
Combining multiple clusterings by soft correspondence
-
IEEE Computer Society
-
Long B., Zhang Z., and Yu P.S. Combining multiple clusterings by soft correspondence. International Conference on Data Mining (2005), IEEE Computer Society 282-289
-
(2005)
International Conference on Data Mining
, pp. 282-289
-
-
Long, B.1
Zhang, Z.2
Yu, P.S.3
-
16
-
-
33745957765
-
Maximum likelihood combination of multiple clusterings
-
Hu T., Yu Y., Xiong J., and Sung S.Y. Maximum likelihood combination of multiple clusterings. Pattern Recognition Letters 27 13 (2006) 1457-1464
-
(2006)
Pattern Recognition Letters
, vol.27
, Issue.13
, pp. 1457-1464
-
-
Hu, T.1
Yu, Y.2
Xiong, J.3
Sung, S.Y.4
-
17
-
-
43249086150
-
A consensus-driven fuzzy clustering
-
Pedrycz W., and Hirota K. A consensus-driven fuzzy clustering. Pattern Recognition Letters 29 9 (2008) 1333-1343
-
(2008)
Pattern Recognition Letters
, vol.29
, Issue.9
, pp. 1333-1343
-
-
Pedrycz, W.1
Hirota, K.2
-
19
-
-
33745727034
-
Multi-objective optimization using genetic algorithms: a tutorial
-
Konak A., Coit D., and Smith A. Multi-objective optimization using genetic algorithms: a tutorial. Reliability Engineering & System Safety 91 9 (2006) 992-1007
-
(2006)
Reliability Engineering & System Safety
, vol.91
, Issue.9
, pp. 992-1007
-
-
Konak, A.1
Coit, D.2
Smith, A.3
-
21
-
-
40249111954
-
Multi-objective clustering ensemble
-
K. Faceli, A. de Carvalho, M. de Souto, Multi-objective clustering ensemble, in: International Conference on Hybrid Intelligent Systems, 2006, pp. 51-51.
-
(2006)
International Conference on Hybrid Intelligent Systems
, pp. 51-51
-
-
Faceli, K.1
de Carvalho, A.2
de Souto, M.3
-
22
-
-
5044220773
-
Multiobjective data clustering
-
M.H. Law, A. Topchy, A.K. Jain, Multiobjective data clustering, in: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 2004, pp. 424-430.
-
(2004)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 424-430
-
-
Law, M.H.1
Topchy, A.2
Jain, A.K.3
-
25
-
-
0036885192
-
Collaborative fuzzy clustering
-
Pedrycz W. Collaborative fuzzy clustering. Pattern Recognition Letters 23 (2002) 1675-1686
-
(2002)
Pattern Recognition Letters
, vol.23
, pp. 1675-1686
-
-
Pedrycz, W.1
-
26
-
-
49049119294
-
A multifaceted perspective at data analysis: a study in collaborative intelligent agents
-
Pedrycz W., and Rai P. A multifaceted perspective at data analysis: a study in collaborative intelligent agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 38 4 (2008) 1062-1072
-
(2008)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.38
, Issue.4
, pp. 1062-1072
-
-
Pedrycz, W.1
Rai, P.2
-
27
-
-
37249013395
-
Semantic web content analysis: a study in proximity-based collaborative clustering
-
Loia V., Pedrycz W., and Senatore S. Semantic web content analysis: a study in proximity-based collaborative clustering. IEEE Transactions on Fuzzy Systems 15 6 (2007) 1294-1312
-
(2007)
IEEE Transactions on Fuzzy Systems
, vol.15
, Issue.6
, pp. 1294-1312
-
-
Loia, V.1
Pedrycz, W.2
Senatore, S.3
-
28
-
-
33746795353
-
Rough-fuzzy collaborative clustering
-
Mitra H., Banka, and Pedrycz W. Rough-fuzzy collaborative clustering. IEEE Transactions on Systems, Man, and Cybernetics 36 (2006) 795-805
-
(2006)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.36
, pp. 795-805
-
-
Mitra, H.1
Banka2
Pedrycz, W.3
-
29
-
-
2342557114
-
Clustering classifiers for knowledge discovery from physically distributed databases
-
Tsoumakas G., Angelis L., and Vlahavas I. Clustering classifiers for knowledge discovery from physically distributed databases. Data & Knowledge Engineering 49 3 (2004) 223-242
-
(2004)
Data & Knowledge Engineering
, vol.49
, Issue.3
, pp. 223-242
-
-
Tsoumakas, G.1
Angelis, L.2
Vlahavas, I.3
-
30
-
-
0042377235
-
Constrained K-means clustering with background knowledge
-
K. Wagstaff, C. Cardie, S. Rogers, S. Schroedl, Constrained K-means clustering with background knowledge, in: International Conference on Machine Learning, 2001, pp. 557-584.
-
(2001)
International Conference on Machine Learning
, pp. 557-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
31
-
-
14344264451
-
Integrating constraints and metric learning in semi-supervised clustering
-
M. Bilenko, S. Basu, R.J. Mooney, Integrating constraints and metric learning in semi-supervised clustering, in: International Conference on Machine Learning, 2004, pp. 81-88.
-
(2004)
International Conference on Machine Learning
, pp. 81-88
-
-
Bilenko, M.1
Basu, S.2
Mooney, R.J.3
-
32
-
-
56249141770
-
An active learning framework for semi-supervised document clustering with language modeling
-
Huang R., and Lam W. An active learning framework for semi-supervised document clustering with language modeling. Data & Knowledge Engineering 68 1 (2009) 49-67
-
(2009)
Data & Knowledge Engineering
, vol.68
, Issue.1
, pp. 49-67
-
-
Huang, R.1
Lam, W.2
-
34
-
-
33750288047
-
Measuring constraint-set utility for partitional clustering algorithms
-
I. Davidson, K.L. Wagstaff, S. Basu, Measuring constraint-set utility for partitional clustering algorithms, in: European Conference on Principles and Practice of Knowledge Discovery in Databases, 2006, pp. 115-126.
-
(2006)
European Conference on Principles and Practice of Knowledge Discovery in Databases
, pp. 115-126
-
-
Davidson, I.1
Wagstaff, K.L.2
Basu, S.3
-
35
-
-
38449121563
-
Value, cost, and sharing: Open issues in constrained clustering
-
K.L. Wagstaff, Value, cost, and sharing: Open issues in constrained clustering, in: International Workshop on Knowledge Discovery in Inductive Databases, 2007, pp. 1-10.
-
(2007)
International Workshop on Knowledge Discovery in Inductive Databases
, pp. 1-10
-
-
Wagstaff, K.L.1
-
36
-
-
40349116323
-
Semisupervised clustering with metric learning using relative comparisons
-
Kumar N., and Kummamuru K. Semisupervised clustering with metric learning using relative comparisons. IEEE Transactions on Knowledge and Data Engineering 20 4 (2008) 496-503
-
(2008)
IEEE Transactions on Knowledge and Data Engineering
, vol.20
, Issue.4
, pp. 496-503
-
-
Kumar, N.1
Kummamuru, K.2
-
37
-
-
9444294778
-
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
-
D. Klein, S. Kamvar, C. Manning, From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering, in: The 19th International Conference on Machine Learning, 2002, pp. 307-314.
-
(2002)
The 19th International Conference on Machine Learning
, pp. 307-314
-
-
Klein, D.1
Kamvar, S.2
Manning, C.3
-
38
-
-
2942534529
-
Active semi-supervision for pairwise constrained clustering
-
S. Basu, A. Banerjee, R.J. Mooney, Active semi-supervision for pairwise constrained clustering, in: SIAM International Conference on Data Mining, 2004, pp. 333-344.
-
(2004)
SIAM International Conference on Data Mining
, pp. 333-344
-
-
Basu, S.1
Banerjee, A.2
Mooney, R.J.3
-
39
-
-
2542567719
-
Semi-supervised clustering by seeding
-
S. Basu, A. Banerjee, R.J. Mooney, Semi-supervised clustering by seeding, in: International Conference on Machine Learning, 2002, pp. 19-26.
-
(2002)
International Conference on Machine Learning
, pp. 19-26
-
-
Basu, S.1
Banerjee, A.2
Mooney, R.J.3
-
41
-
-
12244300524
-
A probabilistic framework for semi-supervised clustering
-
S. Basu, M. Bilenko, R.J. Mooney, A probabilistic framework for semi-supervised clustering, in: International Conference on Knowledge Discovery and Data Mining, 2004, pp. 59-68.
-
(2004)
International Conference on Knowledge Discovery and Data Mining
, pp. 59-68
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.J.3
-
42
-
-
16244407365
-
Supervised clustering - algorithms and benefits
-
C.F. Eick, N. Zeidat, Z. Zhao, Supervised clustering - algorithms and benefits, in: International Conference on Tools with Artificial Intelligence, 2004, pp. 774-776.
-
(2004)
International Conference on Tools with Artificial Intelligence
, pp. 774-776
-
-
Eick, C.F.1
Zeidat, N.2
Zhao, Z.3
-
43
-
-
0442312343
-
Fuzzy clustering with a knowledge-based guidance
-
Pedrycz W. Fuzzy clustering with a knowledge-based guidance. Pattern Recognition Letters 25 4 (2004) 469-480
-
(2004)
Pattern Recognition Letters
, vol.25
, Issue.4
, pp. 469-480
-
-
Pedrycz, W.1
-
46
-
-
64549145427
-
Privacy-preserving data publishing for cluster analysis
-
Fung B.C.M., Wang K., Wang L., and Hung P.C.K. Privacy-preserving data publishing for cluster analysis. Data & Knowledge Engineering 68 6 (2009) 552-575
-
(2009)
Data & Knowledge Engineering
, vol.68
, Issue.6
, pp. 552-575
-
-
Fung, B.C.M.1
Wang, K.2
Wang, L.3
Hung, P.C.K.4
-
48
-
-
84973587732
-
A coefficient of agreement for nominal scales
-
Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20 1 (1960) 37
-
(1960)
Educational and Psychological Measurement
, vol.20
, Issue.1
, pp. 37
-
-
Cohen, J.1
-
49
-
-
84950632109
-
Objective criteria for the evaluation of clustering methods
-
Rand W.M. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association 66 (1971) 622-626
-
(1971)
Journal of the American Statistical Association
, vol.66
, pp. 622-626
-
-
Rand, W.M.1
-
50
-
-
25144439604
-
-
Addison-Wesley, Longman Publishing Co., Inc., Boston, MA, USA
-
Tan P., Steinbach M., and Kumar V. Introduction to Data Mining. first ed. (2005), Addison-Wesley, Longman Publishing Co., Inc., Boston, MA, USA
-
(2005)
Introduction to Data Mining. first ed.
-
-
Tan, P.1
Steinbach, M.2
Kumar, V.3
-
53
-
-
68549094312
-
Information-theoretic distance measures for clustering validation: generalization and normalization
-
Luo P., Xiong H., Zhan G., Wu J., and Shi Z. Information-theoretic distance measures for clustering validation: generalization and normalization. IEEE Transactions on Knowledge and Data Engineering 21 9 (2009) 1249-1262
-
(2009)
IEEE Transactions on Knowledge and Data Engineering
, vol.21
, Issue.9
, pp. 1249-1262
-
-
Luo, P.1
Xiong, H.2
Zhan, G.3
Wu, J.4
Shi, Z.5
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