Suivre
Christophe Biernacki
Christophe Biernacki
Adresse e-mail validée de math.univ-lille1.fr
Titre
Citée par
Citée par
Année
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
19442000
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
18742000
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
18742000
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
8292003
The morphology of built-up landscapes in Wallonia (Belgium): A classification using fractal indices
I Thomas, P Frankhauser, C Biernacki
Landscape and urban planning 84 (2), 99-115, 2008
2442008
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
2242006
An improvement of the NEC criterion for assessing the number of clusters in a mixture model
C Biernacki, G Celeux, G Govaert
Pattern Recognition Letters 20 (3), 267-272, 1999
2031999
Using the classification likelihood to choose the number of clusters
C Biernacki, G Govaert
Computing Science and Statistics, 451-457, 1997
1901997
Choosing models in model-based clustering and discriminant analysis
C Biernacki, G Govaert
Journal of Statistical Computation and Simulation 64 (1), 49-71, 1999
1761999
Choosing models in model-based clustering and discriminant analysis
C Biernacki, G Govaert
Journal of Statistical Computation and Simulation 64 (1), 49-71, 1999
1761999
Rmixmod: The R package of the model-based unsupervised, supervised, and semi-supervised classification Mixmod library
R Lebret, S Iovleff, F Langrognet, C Biernacki, G Celeux, G Govaert
Journal of Statistical Software 67, 1-29, 2015
1082015
Rmixmod: The R package of the model-based unsupervised, supervised, and semi-supervised classification Mixmod library
R Lebret, S Iovleff, F Langrognet, C Biernacki, G Celeux, G Govaert
Journal of Statistical Software 67, 1-29, 2015
1082015
Mixture of Gaussians for distance estimation with missing data
E Eirola, A Lendasse, V Vandewalle, C Biernacki
Neurocomputing 131, 32-42, 2014
772014
A generative model for rank data based on insertion sort algorithm
C Biernacki, J Jacques
Computational Statistics & Data Analysis 58, 162-176, 2013
642013
A generative model for rank data based on insertion sort algorithm
C Biernacki, J Jacques
Computational Statistics & Data Analysis 58, 162-176, 2013
642013
A generative model for rank data based on insertion sort algorithm
C Biernacki, J Jacques
Computational Statistics & Data Analysis 58, 162-176, 2013
642013
Exact and Monte Carlo calculations of integrated likelihoods for the latent class model
C Biernacki, G Celeux, G Govaert
Journal of Statistical Planning and Inference 140 (11), 2991-3002, 2010
612010
Model-based co-clustering for ordinal data
J Jacques, C Biernacki
Computational Statistics & Data Analysis 123, 101-115, 2018
542018
Model-based clustering of Gaussian copulas for mixed data
M Marbac, C Biernacki, V Vandewalle
Communications in Statistics-Theory and Methods 46 (23), 11635-11656, 2017
542017
Degeneracy in the maximum likelihood estimation of univariate Gaussian mixtures with EM
C Biernacki, S Chrétien
Statistics & probability letters 61 (4), 373-382, 2003
542003
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20