Clustering Longitudinal Mixed Data
Clustering Longitudinal Mixed Data
Résumé
We present a model-based clustering algorithm to cluster longitudinal mixed
data. Assuming that the non-continuous variables are the discretization of underlying
latent continuous variables, the model relies on a mixture of matrix-variate normal distri-
butions, accounting simultaneously for within- and between-time dependence structures.
The model is thus able to concurrently model the heterogeneity, the association among
the responses and the temporal dependence structure. An EM algorithm is developed for
parameters estimation.
Mots clés
Model-based Clustering
Mixed longitudinal data
Three-way data
Mixture models
Matrix-variate Gaussians
Données longitudinales mixtes Données à trois voies Modèles Model-based Clustering Mixed longitudinal data Three-way data Mixture models Matrix-variate Gaussians
Données longitudinales mixtes
Données à trois voies
Modèles Model-based Clustering
Mixed longitudinal data
Three-way data
Mixture models
Matrix-variate Gaussians
Domaines
Statistiques [stat]Origine | Fichiers produits par l'(les) auteur(s) |
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