D. Allard and G. Guillot, Clustering geostatistical data, Proceedings 414 of the sixth geostatistical conference, 2000.

C. Ambroise, M. Dang, and G. Govaert, Clustering of spatial data by 416 the EM algorithm, geoENV I -Geostatistics for 417, 1995.

G. Celeux, F. Forbes, and N. Peyrard, Em procedures using mean field- 419 like approximations for markov model-based image segmentation, Pattern, vol.420, issue.361, pp.131-144, 2003.

C. Chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Sys- 423 tems and Technology 2, pp.1-27, 2011.
DOI : 10.1145/1961189.1961199

J. P. Chiì-es and P. Delfiner, Geostatistics, Modeling Spatial Uncertainty, 2012.

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood 428 from incomplete data via EM algorithm (with discussion), Journal of the 429 Royal Statistical Society, Ser. B, vol.39, pp.1-38, 1977.

S. Geman and D. Geman, Stochastic relaxation, gibbs distributions, 431 and the bayesian restoration of images. Pattern Analysis and Machine 432, 1984.

G. Guillot, D. Kan-king-yu, J. Michelin, and P. Huet, Inference of 435 a hidden spatial tessellation from multivariate data: application to the 436 delineation of homogeneous regions in an agricultural field, Journal, p.437, 2006.

X. Guyon, Random fields on a network, 1995.
URL : https://hal.archives-ouvertes.fr/hal-00762788

T. Hastie, R. Tibshirani, and J. Friedman, The elements of statistical 440 learning, 2009.