Gilles Celeux
Gilles Celeux
Directeur de recherche Inria
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An entropy criterion for assessing the number of clusters in a mixture model
G Celeux, G Soromenho
Journal of classification 13, 195-212, 1996
Assessing a mixture model for clustering with the integrated completed likelihood
C Biernacki, G Celeux, G Govaert
IEEE transactions on pattern analysis and machine intelligence 22 (7), 719-725, 2000
Gaussian parsimonious clustering models
G Celeux, G Govaert
Pattern recognition 28 (5), 781-793, 1995
A classification EM algorithm for clustering and two stochastic versions
G Celeux, G Govaert
Computational statistics & Data analysis 14 (3), 315-332, 1992
Deviance information criteria for missing data models
G Celeux, F Forbes, CP Robert, DM Titterington
The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem
G Celeux
Computational statistics quarterly 2, 73-82, 1985
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
C Biernacki, G Celeux, G Govaert
Computational Statistics & Data Analysis 41 (3-4), 561-575, 2003
Computational and inferential difficulties with mixture posterior distributions
G Celeux, M Hurn, CP Robert
Journal of the American Statistical Association 95 (451), 957-970, 2000
Stochastic versions of the EM algorithm: an experimental study in the mixture case
G Celeux, D Chauveau, J Diebolt
Journal of statistical computation and simulation 55 (4), 287-314, 1996
EM procedures using mean field-like approximations for Markov model-based image segmentation
G Celeux, F Forbes, N Peyrard
Pattern recognition 36 (1), 131-144, 2003
Combining mixture components for clustering
JP Baudry, AE Raftery, G Celeux, K Lo, R Gottardo
Journal of computational and graphical statistics 19 (2), 332-353, 2010
Classification automatique des données
G Celeux, E Diday, G Govaert, Y Lechevallier, H Ralambondrainy
Dunod, 1989
Inference in model-based cluster analysis
H Bensmail, G Celeux, AE Raftery, CP Robert
statistics and Computing 7, 1-10, 1997
Variable selection for clustering with Gaussian mixture models
C Maugis, G Celeux, ML Martin-Magniette
Biometrics 65 (3), 701-709, 2009
Model-based clustering and classification for data science: with applications in R
C Bouveyron, G Celeux, TB Murphy, AE Raftery
Cambridge University Press, 2019
Regularized Gaussian discriminant analysis through eigenvalue decomposition
H Bensmail, G Celeux
Journal of the American statistical Association 91 (436), 1743-1748, 1996
Bayesian estimation of hidden Markov chains: a stochastic implementation
CP Robert, G Celeux, J Diebolt
Statistics & Probability Letters 16 (1), 77-83, 1993
Data-based filtering for replicated high-throughput transcriptome sequencing experiments
A Rau, M Gallopin, G Celeux, F Jaffrézic
Bioinformatics 29 (17), 2146-2152, 2013
Model-based cluster and discriminant analysis with the MIXMOD software
C Biernacki, G Celeux, G Govaert, F Langrognet
Computational Statistics & Data Analysis 51 (2), 587-600, 2006
A stochastic approximation type EM algorithm for the mixture problem
G Celeux, J Diebolt
Stochastics: An International Journal of Probability and Stochastic …, 1992
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