G. Celeux and G. Govaert, Gaussian parsimonious clustering models, Pattern Recognition, vol.28, issue.5, pp.781-793, 1995.
DOI : 10.1016/0031-3203(94)00125-6
URL : https://hal.archives-ouvertes.fr/inria-00074643

C. Fraley and A. E. Raftery, MCLUST: Software for Model-Based Cluster Analysis, Journal of Classification, vol.16, issue.2, pp.297-306, 1999.
DOI : 10.1007/s003579900058

E. Geoffrey, P. Hinton, M. Dayan, and . Revow, Modeling the manifolds of images of handwritten digits, IEEE transactions on Neural Networks, vol.8, issue.1, pp.65-74, 1997.

K. Anil and . Jain, Data clustering: 50 years beyond k-means. Pattern recognition letters, pp.31651-666, 2010.

K. Anil, . Jain, . Murty, J. Patrick, and . Flynn, Data clustering: a review, ACM computing surveys (CSUR), vol.31, issue.3, pp.264-323, 1999.

E. Lughofer, A dynamic split-and-merge approach for evolving cluster models, Evolving Systems, vol.55, issue.3, pp.135-151, 2012.
DOI : 10.1023/B:MACH.0000027785.44527.d6

U. Maulik and S. Bandyopadhyay, Genetic algorithm-based clustering technique, Pattern Recognition, vol.33, issue.9, pp.1455-1465, 2000.
DOI : 10.1016/S0031-3203(99)00137-5

G. Mclachlan and T. Krishnan, The EM algorithm and extensions, 2007.

K. Misztal, P. Spurek, E. Saeed, K. Saeed, and J. Tabor, Cross entropy clustering approach to iris segmentation for biometrics purpose, Schedae Informaticae, vol.24, pp.31-40, 2015.

S. Shoham, Robust clustering by deterministic agglomeration EM of mixtures of multivariate t-distributions, Pattern Recognition, vol.35, issue.5, pp.1127-1142, 2002.
DOI : 10.1016/S0031-3203(01)00080-2

J. Tabor and K. Misztal, Detection of Elliptical Shapes via Cross-Entropy Clustering, Pattern Recognition and Image Analysis, pp.656-663, 2013.
DOI : 10.1007/978-3-642-38628-2_78

J. Tabor and P. Law-spurek, Cross-entropy clustering, Pattern Recognition, vol.47, issue.9, pp.3046-3059, 2014.
DOI : 10.1016/j.patcog.2014.03.006
URL : http://arxiv.org/pdf/1210.5594

N. Ueda, R. Nakano, Z. Ghahramani, and G. E. Hinton, SMEM Algorithm for Mixture Models, Neural Computation, vol.21, issue.9, pp.2109-2128, 2000.
DOI : 10.1207/s15327906mbr0503_6

B. Zhang, C. Zhang, and X. Yi, Competitive EM algorithm for finite mixture models, Pattern Recognition, vol.37, issue.1, pp.131-144, 2004.
DOI : 10.1016/S0031-3203(03)00140-7

Z. Zhang, C. Chen, J. Sun, and K. Chan, EM algorithms for Gaussian mixtures with split-and-merge operation, Pattern Recognition, vol.36, issue.9, pp.1973-1983, 2003.
DOI : 10.1016/S0031-3203(03)00059-1