Christophe Biernacki
Christophe Biernacki
Geverifieerd e-mailadres voor math.univ-lille1.fr
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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
14742000
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
14742000
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
14742000
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
6462003
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
2082006
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
1992008
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
1851999
Using the classification likelihood to choose the number of clusters
C Biernacki, G Govaert
Computing Science and Statistics, 451-457, 1997
1541997
Choosing models in model-based clustering and discriminant analysis
C Biernacki, G Govaert
Journal of Statistical Computation and Simulation 64 (1), 49-71, 1999
1491999
Choosing models in model-based clustering and discriminant analysis
C Biernacki, G Govaert
Journal of Statistical Computation and Simulation 64 (1), 49-71, 1999
1491999
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 (6), 241-270, 2015
682015
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 (6), 241-270, 2015
682015
Mixture of Gaussians for distance estimation with missing data
E Eirola, A Lendasse, V Vandewalle, C Biernacki
Neurocomputing 131, 32-42, 2014
542014
Degeneracy in the maximum likelihood estimation of univariate Gaussian mixtures with EM
C Biernacki, S Chrétien
Statistics & probability letters 61 (4), 373-382, 2003
502003
A generalized discriminant rule when training population and test population differ on their descriptive parameters
C Biernacki, F Beninel, V Bretagnolle
Biometrics 58 (2), 387-397, 2002
492002
Model-based clustering for multivariate partial ranking data
J Jacques, C Biernacki
Journal of Statistical Planning and Inference 149, 201-217, 2014
472014
A generative model for rank data based on insertion sort algorithm
C Biernacki, J Jacques
Computational Statistics & Data Analysis 58, 162-176, 2013
472013
A generative model for rank data based on insertion sort algorithm
C Biernacki, J Jacques
Computational Statistics & Data Analysis 58, 162-176, 2013
472013
A generative model for rank data based on insertion sort algorithm
C Biernacki, J Jacques
Computational Statistics & Data Analysis 58, 162-176, 2013
472013
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
432010
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Artikelen 1–20