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ORCIDGérard Govaert
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Journal Articles
- 2018
[j33]Gérard Govaert, Mohamed Nadif
:
Mutual information, phi-squared and model-based co-clustering for contingency tables. Adv. Data Anal. Classif. 12(3): 455-488 (2018)- [j32]Aurore Lomet, Gérard Govaert, Yves Grandvalet:
Model selection for Gaussian latent block clustering with the integrated classification likelihood. Adv. Data Anal. Classif. 12(3): 489-508 (2018) - 2017
- [j31]Allou Samé, Gérard Govaert:
Segmental dynamic factor analysis for time series of curves. Stat. Comput. 27(6): 1617-1637 (2017) - 2016
- [j30]Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin:
A variational Expectation-Maximization algorithm for temporal data clustering. Comput. Stat. Data Anal. 103: 206-228 (2016) - [j29]Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
Generalized topographic block model. Neurocomputing 173: 442-449 (2016) - 2015
- [j28]Christine Keribin, Vincent Brault, Gilles Celeux, Gérard Govaert:
Estimation and selection for the latent block model on categorical data. Stat. Comput. 25(6): 1201-1216 (2015) - 2014
- [j27]Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert:
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing 141: 124-138 (2014) - [j26]Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
Topographic Bernoulli block mixture mapping for binary tables. Pattern Anal. Appl. 17(4): 839-847 (2014) - 2013
- [j25]Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert:
A predictive deviance criterion for selecting a generative model in semi-supervised classification. Comput. Stat. Data Anal. 64: 220-236 (2013) - 2011
- [j24]Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin:
Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. 5(4): 301-321 (2011) - 2010
- [j23]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing 73(7-9): 1210-1221 (2010) - [j22]Pierre Gaillard, Michaël Aupetit, Gérard Govaert:
Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d Inf. 15(2): 97-119 (2010) - 2009
- [j21]Pierre Gaillard, Michaël Aupetit, Gérard Govaert:
Le Graphe Génératif Gaussien. Monde des Util. Anal. Données 40: 103-120 (2009) - [j20]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Time series modeling by a regression approach based on a latent process. Neural Networks 22(5-6): 593-602 (2009) - 2008
- [j19]Gérard Govaert, Mohamed Nadif:
Block clustering with Bernoulli mixture models: Comparison of different approaches. Comput. Stat. Data Anal. 52(6): 3233-3245 (2008) - [j18]Pierre Gaillard, Michaël Aupetit, Gérard Govaert:
Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing 71(7-9): 1283-1299 (2008) - 2007
- [j17]Gérard Govaert, Mohamed Nadif:
Clustering of contingency table and mixture model. Eur. J. Oper. Res. 183(3): 1055-1066 (2007) - [j16]Allou Samé, Christophe Ambroise, Gérard Govaert:
An online classification EM algorithm based on the mixture model. Stat. Comput. 17(3): 209-218 (2007) - 2006
- [j15]Allou Samé, Christophe Ambroise, Gérard Govaert:
A classification EM algorithm for binned data. Comput. Stat. Data Anal. 51(2): 466-480 (2006) - [j14]Christophe Biernacki, Gilles Celeux, Gérard Govaert, Florent Langrognet:
Model-based cluster and discriminant analysis with the MIXMOD software. Comput. Stat. Data Anal. 51(2): 587-600 (2006) - [j13]Christophe Biernacki, Gilles Celeux, Anwuli Echenim, Gérard Govaert, Florent Langrognet:
Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante. Monde des Util. Anal. Données 35: 25-44 (2006) - [j12]Gérard Govaert, Reiner Hähnle, Mohamed Nadif:
Preface. Soft Comput. 10(5): 405-405 (2006) - [j11]Gérard Govaert, Mohamed Nadif:
Fuzzy clustering to estimate the parameters of block mixture models. Soft Comput. 10(5): 415-422 (2006) - 2005
- [j10]Gérard Govaert, Mohamed Nadif:
An EM Algorithm for the Block Mixture Model. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 643-647 (2005) - 2003
- [j9]Christophe Biernacki, Gilles Celeux, Gérard Govaert:
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. Comput. Stat. Data Anal. 41(3-4): 561-575 (2003) - [j8]Gérard Govaert, Mohamed Nadif:
Clustering with block mixture models. Pattern Recognit. 36(2): 463-473 (2003) - 2000
- [j7]Robert T. Collins, Christophe Biernacki, Gilles Celeux, Alan J. Lipton, Gérard Govaert, Takeo Kanade:
Introduction to the Special Section on Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell. 22(8): 745-746 (2000) - 1999
- [j6]Christophe Biernacki, Gilles Celeux, Gérard Govaert:
An improvement of the NEC criterion for assessing the number of clusters in a mixture model. Pattern Recognit. Lett. 20(3): 267-272 (1999) - 1998
- [j5]Mô Dang, Gérard Govaert:
Fuzzy clustering of spatial binary data. Kybernetika 34(4): 393-398 (1998) - [j4]Christophe Ambroise, Gérard Govaert:
Convergence of an EM-type algorithm for spatial clustering. Pattern Recognit. Lett. 19(10): 919-927 (1998) - 1995
- [j3]Gilles Celeux, Gérard Govaert:
Gaussian parsimonious clustering models. Pattern Recognit. 28(5): 781-793 (1995) - 1993
- [j2]Gérard Govaert:
Commentaires sur l'article de G. CELEUX et de C. ROBERT. Monde des Util. Anal. Données 11: 32-34 (1993) - 1989
- [j1]Gérard Govaert:
La classification croisée. Monde des Util. Anal. Données 4: 9-36 (1989)
Conference and Workshop Papers
- 2013
- [c32]Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert:
Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN 2013 - [c31]Maxime Maillot, Michaël Aupetit, Gérard Govaert:
Extraction des nombres de Betti avec un modèle génératif. EGC 2013: 97-102 - [c30]Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin:
Model-Based Clustering of Temporal Data. ICANN 2013: 9-16 - [c29]Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
Gaussian Topographic Co-clustering Model. IDA 2013: 345-356 - 2012
- [c28]Maxime Maillot, Michaël Aupetit, Gérard Govaert:
A generative model that learns Betti numbers from a data set. ESANN 2012 - [c27]Aurore Lomet, Gérard Govaert, Yves Grandvalet:
An Approximation of the Integrated Classification Likelihood for the Latent Block Model. ICDM Workshops 2012: 147-153 - [c26]Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert:
An Efficient Approach to Sparse Linear Discriminant Analysis. ICML 2012 - [c25]Allou Samé, Gérard Govaert:
Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. ICMLA (1) 2012: 602-605 - [c24]Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
Nonlinear Mapping by Constrained Co-clustering. ICPRAM (1) 2012: 63-68 - 2011
- [c23]Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN 2011: 2814-2821 - 2010
- [c22]Mohamed Nadif, Gérard Govaert:
Model-Based Co-clustering for Continuous Data. ICMLA 2010: 175-180 - 2009
- [c21]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization. ESANN 2009 - [c20]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series. IJCNN 2009: 489-496 - 2008
- [c19]Michaël Aupetit, Pierre Gaillard, Gérard Govaert:
Un modèle génératif pour l'Apprentissage de la Topologie. AAFD 2008: 49-76 - [c18]Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
The Block Generative Topographic Mapping. ANNPR 2008: 13-23 - [c17]Mohamed Nadif, Gérard Govaert:
Algorithms for Model-based Block Gaussian Clustering. DMIN 2008: 536-542 - [c16]Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires. EGC 2008: 265-272 - 2007
- [c15]Pierre Gaillard, Michaël Aupetit, Gérard Govaert:
Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN 2007: 235-240 - [c14]Pierre Gaillard, Michaël Aupetit, Gérard Govaert:
Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC 2007: 455-460 - [c13]Damien Tessier, Marc Schoenauer, Christophe Biernacki, Gilles Celeux, Gérard Govaert:
Parameter Setting for Evolutionary Latent Class Clustering. ISICA 2007: 472-484 - 2006
- [c12]Gérard Govaert, Mohamed Nadif:
Classification d'un tableau de contingence et modèle probabiliste. EGC 2006: 457-462 - 2005
- [c11]Mohamed Nadif, Gérard Govaert:
Block clustering via the block GEM and two-way EM algorithms. AICCSA 2005: 32 - [c10]Gérard Govaert, Mohamed Nadif:
Classification d'un tableau de contingence et modèle probabiliste. EGC 2005: 213-218 - [c9]Hani Hamdan, Gérard Govaert:
Mixture Model Clustering of Uncertain Data. FUZZ-IEEE 2005: 879-884 - [c8]Mohamed Nadif, Gérard Govaert:
Block Clustering of Contingency Table and Mixture Model. IDA 2005: 249-259 - [c7]Allou Samé, Gérard Govaert, Christophe Ambroise:
A Mixture Model-Based On-line CEM Algorithm. IDA 2005: 373-384 - [c6]Mohamed Nadif, Gérard Govaert:
A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table. PKDD 2005: 609-616 - 2004
- [c5]Hani Hamdan, Gérard Govaert:
CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emission. SMC (5) 2004: 4774-4779 - 2003
- [c4]François-Xavier Jollois, Mohamed Nadif, Gérard Govaert:
Classification croisée sur des données binaires de grande taille. EGC 2003: 213-218 - [c3]Allou Samé, Christophe Ambroise, Gérard Govaert:
A Mixture Model Approach for Binned Data Clustering. IDA 2003: 265-274 - 2002
- [c2]Mohamed Nadif, Gérard Govaert:
Parameters Estimation of Block Mixture Models. COMPSTAT 2002: 491-496 - 1998
- [c1]Mô Dang, Gérard Govaert:
Spatial Clustering Techniques: An Experimental Comparison. COMPSTAT 1998: 251-256
Informal and Other Publications
- 2013
- [i7]Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin:
Model-based clustering and segmentation of time series with changes in regime. CoRR abs/1312.6967 (2013) - [i6]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A hidden process regression model for functional data description. Application to curve discrimination. CoRR abs/1312.6968 (2013) - [i5]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Time series modeling by a regression approach based on a latent process. CoRR abs/1312.6969 (2013) - [i4]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR abs/1312.6978 (2013) - [i3]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization. CoRR abs/1312.6994 (2013) - [i2]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series. CoRR abs/1312.7001 (2013) - [i1]Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR abs/1312.7024 (2013)
Coauthor Index
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