Uncovering cluster structure and group-specific associations: variable selection in multivariate mixture regression models.

Tadesse M.G., Mortier F., Monni S.
2016

Variable selection for mixture of regression models has been the focus of much research in recent years. These models combine the ideas of mixture models, regression models, and variable selection to uncover group structures and key relationships between data sets. The objective is to identify homogeneous groups of objects and determine the cluster-specific subsets of covariates modulating the ...

Méthodes mathématiques et statistiques