J. Aubert, T. Ha, and T. Maryhuard, Modelè a blocs latents pour l'analyse de données métagénomiques, 46ème46ème journées de Statistiques de la SFdS, 2014.

M. Charrad, Y. Lechevallier, G. Saporta, and M. B. Ahmed, Détermination du nombre de classes dans les méthodes de bipartitionnement, 17ème Rencontres de la Société Francophone de Classification, pp.119-122, 2010.

I. S. Dhillon, S. Mallela, and D. S. Modha, Information-theoretic co-clustering, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.89-98, 2003.
DOI : 10.1145/956750.956764
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.9802

E. B. Fowlkes and C. L. Mallows, A Method for Comparing Two Hierarchical Clusterings, Journal of the American Statistical Association, vol.66, issue.383, pp.78-553, 1983.
DOI : 10.1080/01621459.1983.10478008

G. Govaert and M. Nadif, Co-Clustering, 2013.
DOI : 10.1002/9781118649480
URL : https://hal.archives-ouvertes.fr/hal-00933301

J. A. Hartigan, Classification and Clustering, Journal of Marketing Research, vol.18, issue.4, 1975.
DOI : 10.2307/3151350

L. Hubert and P. Arabie, Comparing partitions, Journal of Classification, vol.78, issue.1, pp.193-218, 1985.
DOI : 10.1007/BF01908075

M. Jagalur, C. Pal, E. Learned-miller, R. T. Zoeller, and D. Kulp, Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering, BMC Bioinformatics, vol.8, issue.Suppl 10, p.5, 2007.
DOI : 10.1186/1471-2105-8-S10-S5

A. Lomet, Sélection de modèle pour la classification croisée de données continues, 2012.

M. Meil?-a, Comparing clusterings???an information based distance, Journal of Multivariate Analysis, vol.98, issue.5, pp.873-895, 2007.
DOI : 10.1016/j.jmva.2006.11.013

W. M. Rand, Objective Criteria for the Evaluation of Clustering Methods, Journal of the American Statistical Association, vol.15, issue.336, pp.846-850, 1971.
DOI : 10.1080/01621459.1963.10500845

V. Robert, G. Celeux, and C. Keribin, Un modèle statistique pour la pharmacovigilance, 2015.

J. Santos and M. Embrechts, On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification, Artificial neural networks, pp.175-184, 2009.
DOI : 10.1162/neco.1989.1.1.151

G. Saporta and G. Youness, Comparing Two Partitions: Some Proposals and Experiments, Compstat, pp.243-248, 2002.
DOI : 10.1007/978-3-642-57489-4_33
URL : https://hal.archives-ouvertes.fr/hal-01124747

H. Shan and A. Banerjee, Bayesian Co-clustering, 2008 Eighth IEEE International Conference on Data Mining, pp.530-539, 2008.
DOI : 10.1109/ICDM.2008.91

N. X. Vinh, J. Epps, and J. Bailey, Information theoretic measures for clusterings comparison, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.2837-2854, 2010.
DOI : 10.1145/1553374.1553511

J. Wyse, N. Friel, and P. Latouche, Abstract, Network Science, vol.11, issue.01, pp.45-69, 2017.
DOI : 10.1016/j.csda.2007.09.007

G. Youness and G. Saporta, Une méthodologie pour la comparaison de partitions, pp.97-120, 2004.