Analysis of ordinal categorical data, vol.656, 2010. ,
blockcluster: An r package for model-based co-clustering, Journal of Statistical Software, issue.i09, p.76, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01093554
Choosing starting values for the em algorithm for getting the highest likelihood in multivariate gaussian mixture models, Computational Statistics & Data Analysis, vol.41, issue.3, pp.561-575, 2003. ,
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm, Statistics and Computing, vol.26, issue.5, pp.929-943, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01052447
, Pattern Recognition and Machine Learning (Information Science and Statistics), 2006.
,
The functional latent block model for the co-clustering of electricity consumption curves, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.67, issue.4, pp.897-915, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01533438
A classification em algorithm for clustering and two stochastic versions, Computational Statistics Quaterly, vol.2, issue.1, pp.73-82, 1991. ,
URL : https://hal.archives-ouvertes.fr/inria-00075196
Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood, Statistical Modelling, vol.15, issue.6, pp.564-589, 2015. ,
A mixture model for preferences data analysis, Computational Statistics & Data Analysis, vol.49, issue.3, pp.917-934, 2005. ,
Maximum likelihood from incomplete data via the em algorithm, Journal of the royal statistical society. Series B (methodological), pp.1-38, 1977. ,
Marketing research in a marketing environment, vol.IRWIN, 1990. ,
Mixture-based clustering for the ordered stereotype model, Computational Statistics & Data Analysis, vol.93, pp.46-75, 2016. ,
A study into mechanisms of attitudinal scale conversion: A stochastic ordering approach, 2018. ,
A clustering method for categorical ordinal data, Communications in Statistics?Theory and Methods, vol.40, issue.7, pp.1315-1334, 2011. ,
A mixture of experts latent position cluster model for social network data, Statistical methodology, vol.7, issue.3, pp.385-405, 2010. ,
Utilisation des modèles de mélange pour la classification automatique de données ordinales, 2006. ,
Block clustering with bernoulli mixture models: Comparison of different approaches, Computational Statistics & Data Analysis, vol.52, issue.6, pp.3233-3245, 2008. ,
Latent block model for contingency table, Communications in Statistics?Theory and Methods, vol.39, pp.416-425, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00447792
Model-based co-clustering for ordinal data, Computational Statistics & Data Analysis, vol.123, pp.101-115, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01383927
Classification de données ordinales: modèles et algorithmes, 41èmes Journées de Statistique, 2009. ,
Estimation and selection for the latent block model on categorical data, Statistics and Computing, vol.25, issue.6, pp.1201-1216, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-00802764
Model selection for the binary latent block model, Proceedings of COMPSTAT, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00924210
The latent block model: a useful model for high dimensional data, ISI 2017-61st world statistics congress, pp.1-6, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01658589
Statistical analysis with missing data, vol.333, 2014. ,
Sélection de modèle pour la classification croisée de données continues, 2012. ,
Model based clustering for mixed data: clustmd. Advances in Data Analysis and Classification, vol.10, pp.155-169, 2016. ,
Braun-blanquet's legacy and data analysis in vegetation science, Journal of Vegetation Science, vol.17, issue.1, pp.113-117, 2006. ,
Mixture models for ordinal data: a pairwise likelihood approach, Statistics and Computing, vol.26, issue.1-2, pp.529-547, 2016. ,
Objective criteria for the evaluation of clustering methods, Journal of the American Statistical association, vol.66, issue.336, pp.846-850, 1971. ,
Estimating the dimension of a model. The annals of statistics, vol.6, pp.461-464, 1978. ,
Genetic algorithms for subset selection in model-based clustering, Unsupervised Learning Algorithms, pp.55-70, 2016. ,
Inferring structure in bipartite networks using the latent blockmodel and exact icl, Network Science, vol.5, issue.1, pp.45-69, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01519780