Model-based Gaussian and non-Gaussian clustering, Biometrics, vol.49, pp.803-821, 1993. ,
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm, Computational Statistics, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00707053
Model-based clustering of high-dimensional data : A review. Computational Statistics and Data Analysis, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00750909
High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, pp.502-519, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00548573
Classification and Regression Trees, 1984. ,
Gaussian parsimonious clustering models, Pattern Recognition, vol.28, pp.781-793, 1995. ,
URL : https://hal.archives-ouvertes.fr/inria-00074643
Letter to the editor, Journal of the American Statistical Association, vol.105, p.383, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00944081
Selection of variables for cluster analysis and classification rules, Journal of the American Statistical Association, vol.103, pp.1294-1303, 2008. ,
Model-based clustering, discriminant analysis, and density estimation, Journal of the American Statistical Association, vol.97, pp.611-631, 2002. ,
Clustering objects on subsets of attributes (with discussion), Journal of the Royal Statistical Society, Series B, vol.66, pp.815-849, 2004. ,
CATdb: a public access to Arabidopsis transcriptome data from the URGV-CATMA platform, Nucleic Acids Research, vol.36, pp.986-990, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-01203869
Penalized factor mixture analysis for variable selection in clustered data, Computational Statistics and Data Analysis, vol.53, pp.4301-4310, 2009. ,
Pairwise variable selection for high-dimensional model-based clustering, Biometrics, vol.66, pp.793-804, 2010. ,
Comparing partitions, Journal of Classification, vol.2, pp.193-218, 1985. ,
Model-based segmentation featuring simultaneous segment-level variable selection, Journal of Marketing Research, vol.49, pp.725-736, 2012. ,
Simultaneous feature selection and clustering using mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, pp.1154-1166, 2004. ,
Variable selection for clustering by separability based on ridgelines, Journal of Computational and Graphical Statistics, vol.21, pp.315-337, 2012. ,
Variable selection for clustering with Gaussian mixture models, Biometrics, vol.65, pp.701-709, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00153057
Variable selection in model-based clustering: A general variable role modeling, Computational Statistics and Data Analysis, vol.53, pp.3872-3882, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00342108
, , 2009.
, Sélection de variables pour la classification par mélanges gaussiens pour prédire la fonction des gènes orphelins, La Revue Modulad, vol.40, pp.69-80
Mixtures of factor analyzers for the analysis of high-dimensional data, Mixture Estimation and Applications, pp.171-191, 2011. ,
Mixture Models: Inference and Applications to Clustering, 1988. ,
Parsimonious Gaussian Mixture Models, Statistics and Computing, vol.18, pp.285-296, 2008. ,
High-dimensional Bayesian clustering with variable selection: The R package bclust, Journal of Statistical Software, vol.47, 2012. ,
Penalized Model-Based Clustering with Application to Variable Selection, Journal of Machine Learning Reserach, vol.8, pp.1145-1164, 2007. ,
Model-based clustering of high-dimensional data: Variable selection versus facet determination, International Journal of Approximate Reasoning, vol.54, pp.196-215, 2013. ,
Variable selection for model-based clustering, Journal of the American Statistical Association, vol.101, pp.168-178, 2006. ,
Dimension reduction for model-based clustering, Statistics and Computing, vol.20, pp.471-484, 2010. ,
Selection of variables in cluster analysis: An empirical comparison of eight procedures, Psychometrika, vol.73, pp.125-144, 2008. ,
Regularized k-means clustering of high dimensional data and its asymptotic consistency, Electronic Journal of Statistics, vol.6, pp.148-167, 2012. ,
Bayesian variable selection in clustering high-dimensional data, Journal of the American Statistical Association, vol.100, pp.602-617, 2005. ,
Estimating the number of clusters in a data set via the gap statistic, Journal of the Royal Statistical Society. Series B. Statistical Methodology, vol.63, pp.411-423, 2001. ,
Variable selection for model-based high-dimensional clustering and its application to microarray data, Biometrics, vol.64, pp.440-448, 2008. ,
A framework for feature selection in clustering, Journal of American Statistical Association, vol.105, pp.713-726, 2010. ,
Pattern clustering by multivariate mixture analysis, Multivariate Behavioral Research, vol.5, pp.329-350, 1970. ,
Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables, Electronic Journal of Statistics, vol.2, pp.168-212, 2008. ,
Penalized model-based clustering with unconstrained covariance matrices, Electronic Journal of Statistics, vol.3, pp.1473-1496, 2009. ,