Model-Based Gaussian and Non-Gaussian Clustering, Biometrics, vol.49, issue.3, pp.803-821, 1993. ,
DOI : 10.2307/2532201
Regularized Gaussian Discriminant Analysis Through Eignenvalue Decomposition, Journal of the American Statistical Association, issue.436, pp.911743-1748, 1996. ,
Model-based cluster and discriminant analysis with the MIXMOD software, Computational Statistics & Data Analysis, vol.51, issue.2, pp.587-600, 2006. ,
DOI : 10.1016/j.csda.2005.12.015
URL : https://hal.archives-ouvertes.fr/inria-00069878
Pattern Recognition and Machine Learning, 2006. ,
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
Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST, Journal of Classification, vol.20, issue.2, pp.263-286, 2003. ,
DOI : 10.1007/s00357-003-0015-3
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring, Science, vol.286, issue.5439, pp.531-537, 1999. ,
DOI : 10.1126/science.286.5439.531
An introduction to variable and feature selection, Journal of Machine Learning research, vol.3, pp.1157-1182, 2003. ,
The Elements of Statistical Learning, 2009. ,
Gene expression analysis: joint feature selection and classifier design, Kernel Methods in Computational Biology, 2004. ,
Tailored Aggregation for Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.11, pp.2098-2105, 2009. ,
DOI : 10.1109/TPAMI.2009.55
URL : https://hal.archives-ouvertes.fr/hal-01197577
A penalized criterion for variable selection in classification, Journal of Multivariate Analysis, vol.98, issue.4, pp.695-705, 2007. ,
DOI : 10.1016/j.jmva.2006.06.003
URL : https://hal.archives-ouvertes.fr/hal-01197536
Variable Selection for Clustering with Gaussian Mixture Models, Biometrics, vol.100, issue.3, pp.701-709, 2009. ,
DOI : 10.1111/j.1541-0420.2008.01160.x
URL : https://hal.archives-ouvertes.fr/inria-00153057
Variable selection in model-based clustering: A general variable role modeling, Computational Statistics & Data Analysis, vol.53, issue.11, pp.3872-3882, 2009. ,
DOI : 10.1016/j.csda.2009.04.013
URL : https://hal.archives-ouvertes.fr/inria-00342108
Discriminant Analysis and Statistical Pattern Analysis, 1992. ,
Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications, The Annals of Applied Statistics, vol.4, issue.1, 2010. ,
DOI : 10.1214/09-AOAS279SUPP
Variable Selection for Model-Based Clustering, Journal of the American Statistical Association, vol.101, issue.473, pp.168-178, 2006. ,
DOI : 10.1198/016214506000000113
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
RankGene: identification of diagnostic genes based on expression data, Bioinformatics, vol.19, issue.12, pp.1578-1579, 2003. ,
DOI : 10.1093/bioinformatics/btg179
Asymptotic Statistics, 1998. ,
DOI : 10.1017/CBO9780511802256
Bayesian variable selection for disease classification using gene expression data, Bioinformatics, vol.26, issue.2, pp.215-222, 2010. ,
Feature-subset selection for statistical classification problems involving unequal covariance matrices. Communication in Statistics-Theory and Methods, pp.137-157, 1986. ,
DOI : 10.1080/03610928608829112
A BIC Criterion for Gaussian Mixture Model Selection with Application in Discriminant Analysis, 2008. ,