Charles Bouveyron
Charles Bouveyron
Professor of Statistics, Chair of Excellence INRIA on Data Science, Université Nice Côte d'Azur
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High-dimensional data clustering
C Bouveyron, S Girard, C Schmid
Computational Statistics & Data Analysis 52 (1), 502-519, 2007
Model-based clustering of high-dimensional data: A review
C Bouveyron, C Brunet-Saumard
Computational Statistics & Data Analysis 71, 52-78, 2014
High-dimensional discriminant analysis
C Bouveyron, S Girard, C Schmid
Communications in Statistics—Theory and Methods 36 (14), 2607-2623, 2007
Robust supervised classification with mixture models: Learning from data with uncertain labels
C Bouveyron, S Girard
Pattern Recognition 42 (11), 2649-2658, 2009
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace
C Bouveyron, C Brunet
Statistics and Computing, 1-24, 2011
HDclassif: An R package for model-based clustering and discriminant analysis of high-dimensional data
L Bergé, C Bouveyron, S Girard
Journal of Statistical Software 46 (6), 1-29, 2012
Model-based clustering of time series in group-specific functional subspaces
C Bouveyron, J Jacques
Advances in Data Analysis and Classification 5 (4), 281-300, 2011
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA
C Bouveyron, G Celeux, S Girard
Pattern Recognition Letters 32 (14), 1706-1713, 2011
The discriminative functional mixture model for a comparative analysis of bike sharing systems
C Bouveyron, E Côme, J Jacques
The Annals of Applied Statistics 9 (4), 1726-1760, 2015
Modélisation et classification des données de grande dimension: application à l'analyse d'images.
C Bouveyron
Université Joseph-Fourier-Grenoble I, 2006
Gaussian mixture models for the classification of high‐dimensional vibrational spectroscopy data
J Jacques, C Bouveyron, S Girard, O Devos, L Duponchel, C Ruckebusch
Journal of Chemometrics 24 (11‐12), 719-727, 2010
Kernel discriminant analysis and clustering with parsimonious Gaussian process models
C Bouveyron, M Fauvel, S Girard
Statistics and Computing 25 (6), 1143-1162, 2015
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm
C Bouveyron, C Brunet-Saumard
Computational Statistics 29 (3-4), 489-513, 2014
The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul
Y Jernite, P Latouche, C Bouveyron, P Rivera, L Jegou, S Lamassé
The Annals of Applied Statistics 8 (1), 377-405, 2014
The stochastic topic block model for the clustering of vertices in networks with textual edges
C Bouveyron, P Latouche, R Zreik
Statistics and Computing 28 (1), 11-31, 2018
Adaptive linear models for regression: Improving prediction when population has changed
C Bouveyron, J Jacques
Pattern Recognition Letters 31 (14), 2237-2247, 2010
The dynamic random subgraph model for the clustering of evolving networks
R Zreik, P Latouche, C Bouveyron
Computational Statistics 32 (2), 501-533, 2017
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
A Bellas, C Bouveyron, M Cottrell, J Lacaille
Advances in Data Analysis and Classification 7 (3), 281-300, 2013
Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression
P Latouche, PA Mattei, C Bouveyron, J Chiquet
Journal of Multivariate Analysis 146, 177-190, 2016
Class-specific subspace discriminant analysis for high-dimensional data
C Bouveyron, S Girard, C Schmid
International Statistical and Optimization Perspectives Workshop" Subspace …, 2005
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