| Model-based clustering of high-dimensional data: A review C Bouveyron, C Brunet-Saumard Computational Statistics & Data Analysis 71, 52-78, 2014 | 417 | 2014 |
| High-dimensional data clustering C Bouveyron, S Girard, C Schmid Computational statistics & data analysis 52 (1), 502-519, 2007 | 398 | 2007 |
| High-dimensional discriminant analysis C Bouveyron, S Girard, C Schmid Communications in Statistics—Theory and Methods 36 (14), 2607-2623, 2007 | 150 | 2007 |
| Robust supervised classification with mixture models: Learning from data with uncertain labels C Bouveyron, S Girard Pattern Recognition 42 (11), 2649-2658, 2009 | 136 | 2009 |
| 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 | 128 | 2011 |
| Model-based clustering and classification for data science: with applications in R C Bouveyron, G Celeux, TB Murphy, AE Raftery Cambridge University Press, 2019 | 118 | 2019 |
| Simultaneous model-based clustering and visualization in the Fisher discriminative subspace C Bouveyron, C Brunet Statistics and Computing, 1-24, 2011 | 110 | 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 | 108 | 2015 |
| 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 | 102 | 2012 |
| Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA C Bouveyron, G Celeux, S Girard Pattern Recognition Letters 32 (14), 1706-1713, 2011 | 67* | 2011 |
| High-dimensional mixture models for unsupervised image denoising (HDMI) A Houdard, C Bouveyron, J Delon SIAM Journal on Imaging Sciences 11 (4), 2815-2846, 2018 | 45 | 2018 |
| 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 | 45 | 2018 |
| Discriminative variable selection for clustering with the sparse Fisher-EM algorithm C Bouveyron, C Brunet-Saumard Computational Statistics 29 (3), 489-513, 2014 | 40 | 2014 |
| Clustering multivariate functional data in group-specific functional subspaces A Schmutz, J Jacques, C Bouveyron, L Cheze, P Martin Computational Statistics 35 (3), 1101-1131, 2020 | 39 | 2020 |
| Kernel discriminant analysis and clustering with parsimonious Gaussian process models C Bouveyron, M Fauvel, S Girard Statistics and Computing 25 (6), 1143-1162, 2015 | 36 | 2015 |
| The functional latent block model for the co‐clustering of electricity consumption curves C Bouveyron, L Bozzi, J Jacques, FX Jollois Journal of the Royal Statistical Society: Series C (Applied Statistics) 67 …, 2018 | 33 | 2018 |
| 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 | 33 | 2014 |
| 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 | 33 | 2010 |
| Adaptive mixtures of regressions: Improving predictive inference when population has changed C Bouveyron, J Jacques | 32* | |
| Modélisation et classification des données de grande dimension: application à l'analyse d'images. C Bouveyron Université Joseph-Fourier-Grenoble I, 2006 | 31 | 2006 |
Stéphane GirardInria, France確認したメール アドレス: inrialpes.fr
