Gérard Govaert

发表

Model-Based Clustering of Temporal Data

Hani El Assaad, Allou Samé, Gérard Govaert, 2013, ICANN.

Classification automatique de donnees environnement statistique et informatique

Gérard Govaert, Edwin Diday, Gilles Celeux, 1989 .

Un protocole de simulation de données pour la classification croisée

Gérard Govaert, Yves Grandvalet, Aurore Lomet, 2012 .

blockcluster: An R Package for Model Based Co-Clustering

Gérard Govaert, Parmeet S. Bhatia, Parmeet Singh Bhatia, 2017 .

Clustering in Pattern Recognition

Gérard Govaert, Edwin Diday, Y. Lechevallier, 1981 .

Integrated classification likelihood for model selection in block clustering

Gérard Govaert, Yves Grandvalet, Aurore Lomet, 2012 .

A Mixture Model-Based On-line CEM Algorithm

Allou Samé, Gérard Govaert, Christophe Ambroise, 2005, IDA.

Clustering and Models

Gérard Govaert, Christophe Ambroise, G. Govaert, 2002 .

Time series modeling by a regression approach based on a latent process

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, Neural Networks.

A hidden process regression model for functional data description. Application to curve discrimination pdf

Allou Samé, Gérard Govaert, Patrice Aknin, 2010, Neurocomputing.

Model-based cluster and discriminant analysis with the MIXMOD software

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 2006, Comput. Stat. Data Anal..

Special issue on “New trends on model-based clustering and classification”

Gérard Govaert, Geoffrey J. McLachlan, Salvatore Ingrassia, 2015, Adv. Data Anal. Classif..

A classification EM algorithm for binned data

Allou Samé, Gérard Govaert, Christophe Ambroise, 2006, Comput. Stat. Data Anal..

Nonlinear Mapping by Constrained Co-clustering

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2012, ICPRAM.

Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, PKDD.

Block clustering with Bernoulli mixture models: Comparison of different approaches

Gérard Govaert, Mohamed Nadif, G. Govaert, 2008, Comput. Stat. Data Anal..

Spatial Clustering Techniques: An Experimental Comparison

Gérard Govaert, Mô Dang, G. Govaert, 1998, COMPSTAT.

Clustering model and metric with continuous data

Gérard Govaert, G. Govaert, 1989 .

Parameters Estimation of Block Mixture Models

Gérard Govaert, Mohamed Nadif, G. Govaert, 2002, COMPSTAT.

MIXMODA software for model-based classification for quantitative and qualitative data

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 2008 .

Learning topology of a labeled data set with the supervised generative gaussian graph

Gérard Govaert, Michaël Aupetit, Pierre Gaillard, 2008, ESANN.

Segmental dynamic factor analysis for time series of curves

Allou Samé, Gérard Govaert, G. Govaert, 2016, Statistics and Computing.

An Approximation of the Integrated Classification Likelihood for the Latent Block Model

Gérard Govaert, Yves Grandvalet, Aurore Lomet, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

A predictive deviance criterion for selecting a generative model in semi-supervised classification

Gérard Govaert, Vincent Vandewalle, Christophe Biernacki, 2013, Comput. Stat. Data Anal..

The Block Generative Topographic Mapping

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2008, ANNPR.

Generalized topographic block model

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2016, Neurocomputing.

Fuzzy Clustering and Mixture Models

Gérard Govaert, Gilles Celeux, G. Celeux, 1994 .

Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2008, EGC.

A regression model with a hidden logistic process for feature extraction from time series

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, 2009 International Joint Conference on Neural Networks.

Algorithms for Model-based Block Gaussian Clustering

Gérard Govaert, Mohamed Nadif, G. Govaert, 2008, DMIN.

Software for co-clustering of binary data

Gérard Govaert, Serge Iovleff, Parmeet Bathia, 2012 .

Topographic Bernoulli block mixture mapping for binary tables

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2014, Pattern Analysis and Applications.

Clustering with block mixture models

Gérard Govaert, Mohamed Nadif, G. Govaert, 2003, Pattern Recognit..

Model‐Based Co‐Clustering

Gérard Govaert, Mohamed Nadif, 2014 .

Stochastic Algorithms for Clustering

Gérard Govaert, Gilles Celeux, G. Celeux, 1990 .

7. Cluster Analysis

Gérard Govaert, Mohamed Nadif, G. Govaert, 2010 .

EM Algorithm for Partially Known Labels

Gérard Govaert, Christophe Ambroise, G. Govaert, 2000 .

Un modèle génératif pour l'Apprentissage de la Topologie

Gérard Govaert, Michaël Aupetit, Pierre Gaillard, 2008, AAFD.

Mixture Model Clustering of Uncertain Data

Gérard Govaert, Hani Hamdan, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

A regression model with a hidden logistic process for signal parametrization pdf

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, ESANN.

Another Version of the Block EM Algorithm

Gérard Govaert, Mohamed Nadif, G. Govaert, 2004 .

Fuzzy clustering of spatial binary data

Gérard Govaert, Mô Dang, G. Govaert, 1998, Kybernetika.

An R Package and C++ library for Latent block models: Theory, usage and applications

Gérard Govaert, Serge Iovleff, Parmeet Bathia, 2017 .

Model selection for Gaussian latent block clustering with the integrated classification likelihood

Gérard Govaert, Yves Grandvalet, Aurore Lomet, 2018, Adv. Data Anal. Classif..

Estimation and selection for the latent block model on categorical data

Gérard Govaert, Gilles Celeux, Vincent Brault, 2015, Stat. Comput..

Clustering the Vélib' origin-destinations flows by means of Poisson mixture models

Gérard Govaert, Etienne Côme, Latifa Oukhellou, 2013, ESANN.

Un graphe génératif pour la classification semi-supervisée

Gérard Govaert, Michaël Aupetit, Pierre Gaillard, 2010, Ingénierie des Systèmes d Inf..

A variant of Gaussian mixture models to cluster censored individuals

Gérard Govaert, Jean-Baptiste Masson, 2010 .

Introduction to the Special Section on Video Surveillance

Takeo Kanade, Robert T. Collins, Gérard Govaert, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

A Mixture Model Approach for Binned Data Clustering

Allou Samé, Gérard Govaert, Christophe Ambroise, 2003, IDA.

Clustering of Spatial Data by the EM Algorithm

Gérard Govaert, Christophe Ambroise, M. Dang, 1997 .

Model-Based Co-clustering for Continuous Data

Gérard Govaert, Mohamed Nadif, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Classification croisée sur des données binaires de grande taille

Gérard Govaert, Mohamed Nadif, François-Xavier Jollois, 2003, EGC.

Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 2015 .

Clustering and the Mixture Model

Gérard Govaert, G. Govaert, 2010 .

Block clustering via the block GEM and two-way EM algorithms

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005..

Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 2006, Monde des Util. Anal. Données.

Classification d'un tableau de contingence et modèle probabiliste

Gérard Govaert, Mohamed Nadif, 2006, EGC.

Gaussian parsimonious clustering models

Gérard Govaert, Gilles Celeux, G. Celeux, 1995, Pattern Recognit..

MIXMOD : a software for model-based classification with continuous and categorical data

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 2008 .

Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models

Gérard Govaert, Etienne Côme, Latifa Oukhellou, 2014, Neurocomputing.

Classification de données de type intervalle via l’algorithme EM

Gérard Govaert, Hani Hamdan, G. Govaert, 2003 .

Model-based clustering with Hidden Markov Model regression for time series with regime changes

Allou Samé, Gérard Govaert, Patrice Aknin, 2011, The 2011 International Joint Conference on Neural Networks.

Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection

Allou Samé, Gérard Govaert, G. Govaert, 2012, 2012 11th International Conference on Machine Learning and Applications.

Clustering of contingency table and mixture model

Gérard Govaert, Mohamed Nadif, G. Govaert, 2007, Eur. J. Oper. Res..

Parameter Setting for Evolutionary Latent Class Clustering

Gérard Govaert, Marc Schoenauer, Christophe Biernacki, 2007, ISICA.

An Efficient Approach to Sparse Linear Discriminant Analysis

Gérard Govaert, Yves Grandvalet, Luis Francisco Sánchez Merchante, 2012, ICML.

Mutual information, phi-squared and model-based co-clustering for contingency tables

Gérard Govaert, Mohamed Nadif, G. Govaert, 2018, Adv. Data Anal. Classif..

Block Clustering of Contingency Table and Mixture Model

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, IDA.

Apprentissage statistique de la topologie d'un ensemble de données étiquetées

Gérard Govaert, Michaël Aupetit, Pierre Gaillard, 2007, EGC.

Co-Clustering: Models, Algorithms and Applications

Gérard Govaert, Mohamed Nadif, G. Govaert, 2013 .

An improvement of the NEC criterion for assessing the number of clusters in a mixture model

Gérard Govaert, Christophe Biernacki, Gilles Celeux, 1999, Pattern Recognit. Lett..

A mixture of Kalman filters for online monitoring of railway switches

Hani El Assaad, Gérard Govaert, Patrice Aknin, 2013 .

A variational Expectation-Maximization algorithm for temporal data clustering

Hani El Assaad, Allou Samé, Gérard Govaert, 2016, Comput. Stat. Data Anal..

Modélisation et classification de données imprécises

Gérard Govaert, Hani Hamdan, 2003 .

Modèle à processus latent et algorithme EM pour la régression non linéaire pdf

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, ArXiv.

CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emission

Gérard Govaert, Hani Hamdan, G. Govaert, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Gaussian Topographic Co-clustering Model

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2013, IDA.

Extraction des nombres de Betti avec un modèle génératif

Gérard Govaert, Michaël Aupetit, Maxime Maillot, 2013, EGC.

Convergence of an EM-type algorithm for spatial clustering

Gérard Govaert, Christophe Ambroise, G. Govaert, 1998, Pattern Recognit. Lett..

An EM algorithm for the block mixture model

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Model-based clustering and segmentation of time series with changes in regime

Allou Samé, Gérard Govaert, Patrice Aknin, 2011, Adv. Data Anal. Classif..

Evolutionary Latent Class Clustering of Qualitative Data

Gérard Govaert, Marc Schoenauer, Christophe Biernacki, 2006 .

Spatial Fuzzy Clustering using EM and Markov Random Fields

Gérard Govaert, G. Govaert, Mô Dang, 1998 .

Learning from an imprecise teacher : probabilistic and evidential approaches

Gérard Govaert, Christophe Ambroise, Philippe Smets, 2015 .

Estimation d'un modèle à blocs latents par l'algorithme SEM

Gérard Govaert, Gilles Celeux, Christine Keribin, 2010 .

Binary clustering with missing data

Gérard Govaert, Mohamed Nadif, 1993 .

Model selection in block clustering by the integrated classification likelihood

Gérard Govaert, Yves Grandvalet, Aurore Lomet, 2012 .

Model selection for the binary latent block model

Gérard Govaert, Gilles Celeux, Christine Keribin, 2012 .

Latent Class Models for Categorical Data

Gérard Govaert, Gilles Celeux, Gérard Govaert, 2015 .

Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data

Gérard Govaert, Mohamed Nadif, G. Govaert, 1996 .