Analysis of ordinal categorical data Wiley Series in Probability and Statistics, pp.397-405, 2012. ,
Package for the Longitudinal Analysis of Health-Related Quality of Life in Oncology, Journal of Statistical Software, vol.77, issue.12, pp.771-801, 2017. ,
DOI : 10.18637/jss.v077.i12
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, 2000. ,
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
ordinal?regression models for ordinal data, 2015. R package version 2015, pp.6-28 ,
Maximum likelihood from incomplete data via the em algorithm, Journal of he Royal Statistical Society, series B, vol.39, issue.1, pp.1-38, 1977. ,
Co-Clustering. Computing Engineering series, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00933301
Algorithm AS 136: A K-Means Clustering Algorithm, Applied Statistics, vol.28, issue.1, pp.100-108, 1979. ,
DOI : 10.2307/2346830
Model-Based Co-clustering for Ordinal Data. preprint <hal-01448299>, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01383927
Estimation d'un modèle à blocs latents par l'algorithme SEM, 42èmes Journées de Statistique, 2010. ,
Algorithms from and for Nature and Life: Classification and Data Analysis, chapter Clustering Ordinal Data via Latent Variable Models, pp.127-135, 2013. ,
Objective criteria for the evaluation of clustering methods, Journal of the American Statistical Association, vol.66, issue.336, pp.846-850, 1971. ,
Analyzing health quality survey using constrained co-clustering model for ordinal data and some dynamic implication, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01643910
Technical guide for latent gold 4.0: Basic and advanced. statistical innovations inc, 2005. ,