Analysis of ordinal categorical data, 2010. ,
DOI : 10.1002/9780470594001
An r package and c++ library for latent block models: Theory, usage and applications, Journal of Statistical Software, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01285610
Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2001. ,
DOI : 10.1109/34.865189
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm, Statistics and Computing, vol.5, issue.2684, pp.929-943, 2016. ,
DOI : 10.1207/s15327906mbr0503_6
URL : https://hal.archives-ouvertes.fr/hal-01052447
Consistency and asymptotic normality of latent blocks model estimators, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01511960
Exact Matrix Completion via Convex Optimization, Foundations of Computational Mathematics, vol.170, issue.1, p.717, 2009. ,
DOI : 10.1017/CBO9780511814068
Latent Class Models for Categorical Data Handbook of Cluster Analysis. Chapman & Hall/CRC Handbooks of Modern Statistical Methods, pp.173-194, 2015. ,
Breast cancer, coping and quality of life: a semi-prospective study, European Review of Applied Psychology, vol.3, pp.315-320, 2000. ,
A mixture model for preferences data analysis, Computational Statistics & Data Analysis, vol.49, issue.3, pp.917-934, 2005. ,
DOI : 10.1016/j.csda.2004.06.012
Marketing Research in a Marketing Environment, 1994. ,
Mixture-based clustering for the ordered stereotype model, Computational Statistics & Data Analysis, vol.93, pp.46-75, 2016. ,
DOI : 10.1016/j.csda.2014.11.004
A Clustering Method for Categorical Ordinal Data, Communications in Statistics - Theory and Methods, vol.5, issue.7, pp.1315-1334, 2011. ,
DOI : 10.1111/1467-9868.00293
Utilisation des modèles de mélange pour la classification automatique de données ordinales, 2006. ,
Direct Clustering of a Data Matrix, Journal of the American Statistical Association, vol.27, issue.2, pp.123-129, 1972. ,
DOI : 10.1080/01621459.1963.10500845
Classification and Clustering, Journal of Marketing Research, vol.18, issue.4, 1975. ,
DOI : 10.2307/3151350
Opinion mining from twitter data using evolutionary multinomial mixture models, Econometrics and Statistics, 2017. ,
Extension of model-based classification for binary data when training and test populations differ, Journal of Applied Statistics, vol.1, issue.1, pp.749-766, 2010. ,
DOI : 10.2307/4088413
URL : https://hal.archives-ouvertes.fr/hal-00316080
Classification de données ordinales : modèles et algorithmes, Proceedings of the 43th conference of the French Statistical Society, 2011. ,
biclust: BiCluster Algorithms. R package version 1.2.0. URL https, 2015. ,
Finding groups in data: An introduction to cluster analysis, 1990. ,
DOI : 10.1002/9780470316801
Estimation and selection for the latent block model on categorical data, Statistics and Computing, vol.22, issue.2, pp.1201-1216, 2015. ,
DOI : 10.1007/s11222-011-9233-4
URL : https://hal.archives-ouvertes.fr/hal-00802764
Heterogeneity of Parkinson's disease in the early clinical stages using a data driven approach, Journal of Neurology, Neurosurgery & Psychiatry, vol.76, issue.3, pp.343-348, 2003. ,
DOI : 10.1136/jnnp.2003.033530
Statistical Analysis with missing data, 2002. ,
DOI : 10.1002/9781119013563
Biclustering Models for Two-Mode Ordinal Data, Psychometrika, vol.22, issue.2, pp.611-624, 2016. ,
DOI : 10.1007/s11222-011-9233-4
URL : http://doi.org/10.1007/s11336-016-9503-3
Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection, Computational Statistics & Data Analysis, vol.71, pp.241-261, 2014. ,
DOI : 10.1016/j.csda.2013.05.013
Braun-Blanquet's legacy and data analysis in vegetation science, Journal of Vegetation Science, vol.50, issue.1, pp.113-117, 2006. ,
DOI : 10.1007/BF00055204
Mixture models for ordinal data: a pairwise likelihood approach, Statistics and Computing, vol.141, issue.9, pp.529-547, 2016. ,
DOI : 10.1016/j.jspi.2011.03.026
Objective Criteria for the Evaluation of Clustering Methods, Journal of the American Statistical Association, vol.15, issue.336, pp.846-850, 1971. ,
DOI : 10.1080/01621459.1963.10500845
Maximal Interaction Two-Mode Clustering, Journal of Classification, vol.26, issue.1, pp.49-75, 2017. ,
DOI : 10.3758/s13428-012-0238-5
URL : http://doi.org/10.1007/s00357-017-9226-x
On the Theory of Scales of Measurement, Science, vol.103, issue.2684, pp.677-680, 1946. ,
DOI : 10.1126/science.103.2684.677
Technical Guide for Latent GOLD 4.0: Basic and Advanced, Statistical Innovations Inc, 2005. ,
Double k-means Clustering for Simultaneous Classification of Objects and Variables, pp.43-52, 2001. ,