A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society : Series B (Methodological), vol.39, issue.1, pp.1-22, 1977.

G. Govaert and M. Nadif, Clustering with block mixture models. Pattern Recognition, vol.36, pp.463-473, 2003.

G. Govaert and M. Nadif, Co-clustering : models, algorithms and applications. ISTE Ltd, 2013.

T. S. Jaakkola, Tutorial on variational approximation methods, Advanced mean field methods : theory and practice, pp.129-159, 2000.

R. J. , Little et Rubin : Statistical analysis with missing data, 1987.

B. M. Marlin and R. S. Zemel, Collaborative prediction and ranking with nonrandom missing data, Proceedings of the third ACM conference on Recommender systems, pp.5-12, 2009.

B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, Item-based collaborative filtering recommendation algorithms, Proceedings of the 10th International Conference on World Wide Web, pp.285-295, 2001.

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Matrix factorization and neighbor based algorithms for the netflix prize problem, RecSys'08 : Proceedings of the 2008 ACM Conference on Recommender Systems, pp.267-274, 2008.