149 4.3.1 Clustering consensus par ensemble de clusterings, p.151 ,
Clustering multirepresented objects using combination trees, Lecture Notes in Computer Science, vol.3918, pp.174-178, 2006. ,
Information theory and an extension of the maximum likelihood principle, Proceedings of 2nd International Symposium on Information Theory, pp.267-281, 1973. ,
Learning topology with the generative gaussian graph and the em algorithm, Advances in Neural Information Processing Systems, p.2006, 2006. ,
COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity, Sixth International Conference on Data Mining (ICDM'06), pp.53-62, 2006. ,
DOI : 10.1109/ICDM.2006.37
Active Semi-Supervision for Pairwise Constrained Clustering, SDM. SIAM, 2004. ,
DOI : 10.1137/1.9781611972740.31
Multi-modal Clustering for Multimedia Collections, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383223
Combinatorial Markov Random Fields, Proceedings of ECML-06, the 17th European Conference on Machine Learning, pp.30-41, 2006. ,
DOI : 10.1007/11871842_8
Pattern Recognition with Fuzzy Objective Function Algorithms, 1981. ,
DOI : 10.1007/978-1-4757-0450-1
Multi-View Clustering, Fourth IEEE International Conference on Data Mining (ICDM'04), pp.19-26, 2004. ,
DOI : 10.1109/ICDM.2004.10095
Estimation of Mixture Models Using Co-EM, 16th European Conference on Machine Learning ECML 2001, pp.35-46, 2005. ,
DOI : 10.1007/11564096_9
Pourquoi les modèles de mélange pour la classification ?, pp.1-22, 2009. ,
Combining labeled and unlabeled data with co-training, Proceedings of the eleventh annual conference on Computational learning theory , COLT' 98, 1998. ,
DOI : 10.1145/279943.279962
A classification EM algorithm for clustering and two stochastic versions, Computational Statistics & Data Analysis, vol.14, issue.3, pp.315-332, 1992. ,
DOI : 10.1016/0167-9473(92)90042-E
URL : https://hal.archives-ouvertes.fr/inria-00075196
Locally linear metric adaptation for semisupervised clustering, Proceedings of the twenty-first international conference on Machine learning, ICML '04, p.20, 2004. ,
CoFKM: A Centralized Method for Multiple-View Clustering, 2009 Ninth IEEE International Conference on Data Mining, pp.752-757, 2009. ,
DOI : 10.1109/ICDM.2009.138
URL : https://hal.archives-ouvertes.fr/hal-00460800
Generation of Alternative Clusterings Using the CAMI Approach, SDM, pp.118-129, 2010. ,
DOI : 10.1137/1.9781611972801.11
A survey of clustering with instance level constraints, In ACM Transactions on Knowledge Discovery from Data, pp.1-41, 2007. ,
Finding Alternative Clusterings Using Constraints, 2008 Eighth IEEE International Conference on Data Mining, pp.773-778, 2008. ,
DOI : 10.1109/ICDM.2008.141
Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results, PKDD, pp.59-70, 2005. ,
DOI : 10.1007/11564126_11
-Means Algorithm, SDM, 2005. ,
DOI : 10.1137/1.9781611972757.13
URL : https://hal.archives-ouvertes.fr/in2p3-00857367
Maximum Likelihood from Incomplete Data via the EM Algorithm, Journal of Royal Statistical Society B, vol.39, pp.1-38, 1977. ,
A unified view of kernel k-means, spectral clustering and graph cuts, 2005. ,
On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering, Proc. SIAM Data Mining Conf, pp.606-610, 2005. ,
DOI : 10.1137/1.9781611972757.70
Adaptive Batch SOM for Multiple Dissimilarity Data Tables, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, pp.575-578, 2011. ,
DOI : 10.1109/ICTAI.2011.92
A density-based algorithm for discovering clusters in large spatial databases with noise, KDD, pp.226-231, 1996. ,
Multi-objective clustering ensemble for gene expression data analysis, Neurocomputing, vol.72, issue.13-15, pp.7213-152763, 2009. ,
DOI : 10.1016/j.neucom.2008.09.025
Connaissances et classification multistratégie d'objets complexes multisources, 2010. ,
Clustering by Passing Messages Between Data Points, Science, vol.315, issue.5814, p.315, 2007. ,
DOI : 10.1126/science.1136800
Data clustering -theory, algorithms, and applications, 2007. ,
DOI : 10.1137/1.9780898718348
12. Grid-Based Clustering Algorithms, 2007. ,
DOI : 10.1137/1.9780898718348.ch12
URL : https://hal.archives-ouvertes.fr/hal-00179982
Topological collaborative clustering, Machine Learning Applications (Part I), 2010. ,
Learning confidence exchange in Collaborative Clustering, The 2011 International Joint Conference on Neural Networks, pp.872-879, 2011. ,
DOI : 10.1109/IJCNN.2011.6033313
Consensus of partitions : a constructive approach, Advances in Data Analysis and Classification, vol.12, issue.2, pp.215-229, 2011. ,
DOI : 10.1007/s11634-011-0087-6
Mining the Structure of User Activity using Cluster Stability, proceedings of the Web Analytics Workshop, SIAM Conference on Data Mining, 2002. ,
Data clustering: 50 years beyond K-means, Pattern Recognition Letters, vol.31, issue.8, pp.3-4, 2008. ,
DOI : 10.1016/j.patrec.2009.09.011
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.4286
Clustering multirepresented objects with noise, Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.394-403, 2004. ,
DOI : 10.1007/978-3-540-24775-3_48
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.7441
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.359-392, 1998. ,
DOI : 10.1137/S1064827595287997
Finding Groups in Data. An Introduction to Cluster Analysis, 1990. ,
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering, 2002. ,
Subspace Clustering, Ensemble Clustering , Alternative Clustering, Multiview Clustering: What Can We Learn From Each Other, Proceedings of MultiClustKDD, 2010. ,
Semi-supervised graph clustering, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.457-464, 2005. ,
DOI : 10.1145/1102351.1102409
Convex clustering with exemplarbased models, Advances in Neural Information Processing Systems, pp.825-832, 2008. ,
Clustering based on matrix approximation: a unifying view, Knowledge and Information Systems, vol.46, issue.5, pp.1-15, 2008. ,
DOI : 10.1007/s10115-007-0116-0
BoostCluster, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.450-459, 2007. ,
DOI : 10.1145/1281192.1281242
A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007. ,
DOI : 10.1007/s11222-007-9033-z
Some methods for classification and analysis of multivariate observations, Proceedings of the Fifth Berkeley Symposium on Mathematical statistics and probability, pp.281-297, 1967. ,
Fusing Biomedical Multi-modal Data for Exploratory Data Analysis, ICANN 2006, Part II, pp.798-807, 2006. ,
DOI : 10.1007/11840930_83
Unsupervised horizontal collaboration based in SOM, International Journal of Computer Science and Information Technology, vol.3, issue.3, 2011. ,
DOI : 10.5121/ijcsit.2011.3320
On spectral clustering: Analysis and an algorithm, In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, pp.849-856, 2001. ,
Collaborative fuzzy clustering, Pattern Recognition Letters, vol.23, issue.14, pp.1675-1686, 2002. ,
DOI : 10.1016/S0167-8655(02)00130-7
Sur quelques aspects mathématiques des problèmes de classification automatique, 1965. ,
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
Computing gaussian mixture models with em using side-information, Advances in Neural Information Processing Systems 16, 2003. ,
Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000. ,
Cluster ensembles ? a knowledge reuse framework for combining multiple partitions, J. Mach. Learn. Res, vol.3, pp.583-617, 2003. ,
Regroupement de données multi-représentées : une approche par k-moyenne flou, EGC 2009, 9è Journées Francophones Extraction et Gestion des Connaissances, Actes des ateliers, 2009. ,
Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based Approaches, 2011 IEEE 11th International Conference on Data Mining Workshops, 2011. ,
DOI : 10.1109/ICDMW.2011.103
URL : https://hal.archives-ouvertes.fr/hal-00632952
Handwritten digit recognition by combined classifiers, pp.381-386, 1998. ,
A SURVEY OF CLUSTERING ENSEMBLE ALGORITHMS, International Journal of Pattern Recognition and Artificial Intelligence, vol.25, issue.03, pp.337-372, 2011. ,
DOI : 10.1142/S0218001411008683
Clustering with instance-level constraints, Proceedings of the Seventeenth International Conference on Machine Learning, pp.1103-1110, 2000. ,
Constrained k-means clustering with background knowledge, Proceedings of the Eighteenth International Conference on Machine Learning, ICML '01, pp.577-584, 2001. ,
A COLLABORATIVE APPROACH TO COMBINE MULTIPLE LEARNING METHODS, International Journal on Artificial Intelligence Tools, vol.09, issue.01, pp.59-78, 2000. ,
DOI : 10.1142/S0218213000000069
Fuzzy Clustering in Parallel Universes, NAFIPS 2005, 2005 Annual Meeting of the North American Fuzzy Information Processing Society, pp.439-454, 2007. ,
DOI : 10.1109/NAFIPS.2005.1548598
Distance metric learning, with application to clustering with side-information, Advances in Neural Information Processing Systems 15, pp.505-512, 2002. ,
Distance metric learning with application to clustering with side-information, NIPS, pp.505-512, 2002. ,
Protein network inference from multiple genomic data: a supervised approach, Bioinformatics, vol.20, issue.Suppl 1, pp.363-370, 2004. ,
DOI : 10.1093/bioinformatics/bth910
URL : https://hal.archives-ouvertes.fr/hal-00433586
Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965. ,
DOI : 10.1016/S0019-9958(65)90241-X
Clustering genes using heterogeneous data sources, IJKDB, vol.1, issue.2, pp.12-28, 2010. ,
Parametric distance metric learning with label information, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, pp.1450-1452, 2003. ,