Maximum likelihood for incomplete data via the EM algorithm, J. Royal Stat. Soc. B, vol.39, issue.1, pp.1-38, 1977. ,
Superparamagnetic clustering of data, Physical Review E, vol.57, issue.4, pp.3767-3787, 1998. ,
DOI : 10.1103/PhysRevE.57.3767
Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference, 1988. ,
Generalized belief propagation, Advances in Neural Information Processing Systems, pp.689-695, 2001. ,
Factor graphs and the sum-product algorithm, IEEE Transactions on Information Theory, vol.47, issue.2, pp.498-519, 2001. ,
DOI : 10.1109/18.910572
Clustering by Passing Messages Between Data Points, Science, vol.315, issue.5814, pp.972-976, 2007. ,
DOI : 10.1126/science.1136800
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.3145
Clustering by soft-constraint affinity propagation: applications to gene-expression data, Bioinformatics, vol.23, issue.20, p.2708, 2007. ,
DOI : 10.1093/bioinformatics/btm414
Unsupervised and semi-supervised clustering by message passing: Softconstraint affinity propagation, Eur. Phys. J. B, pp.125-135, 2008. ,
How many clusters?which clustering method? answer via model-based clustering. The Computer Journal [11] S. Still and W. Bialek. How many clusters?:an information-theoretic perspective, Neural Computation, vol.41, issue.16, pp.2483-2506, 1998. ,
DOI : 10.1093/comjnl/41.8.578
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.5035
A prediction-based resampling method for estimating the number of clusters in a dataset, Genome Biology, vol.221, issue.7, pp.36-37, 2002. ,
Adaptive affinity propagation clustering, Acta Automatica Sinica, vol.33, issue.12, pp.1242-1246, 2007. ,
Data Streaming with Affinity Propagation, ECML/PKDD, pp.628-643, 2008. ,
DOI : 10.1007/978-3-540-87481-2_41
URL : https://hal.archives-ouvertes.fr/inria-00289679
Toward autonomic grids, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.628-643, 2009. ,
DOI : 10.1145/1557019.1557126
URL : https://hal.archives-ouvertes.fr/inria-00393825
Propagating Beliefs in Spin-Glass Models, Journal of the Physical Society of Japan, vol.72, issue.7, pp.1645-1649, 2003. ,
DOI : 10.1143/JPSJ.72.1645
Clustering data streams: theory and practice, TKDE, pp.515-528, 2003. ,
DOI : 10.1109/TKDE.2003.1198387
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.9085
Extreme Value Theory, Operations Research and Financial Engineering, 2006. ,
DOI : 10.1007/0-387-34471-3
Self-tuning spectral clustering, Advances in Neural Information Processing Systems 17, pp.1601-1608, 2004. ,
The uniqueness of a good optimum for kmeans Fluctuations are neglected in this argument, ICML, pp.625-632, 2006. ,