Model-based co-clustering for ordinal data
Résumé
A model-based coclustering algorithm for ordinal data is presented. This
algorithm relies on the latent block model using the BOS model (Biernacki and Jacques,
2015, Stat. Comput.) for ordinal data and a SEM-Gibbs algorithm for inference. Nu-
merical experiments on simulated data illustrate the eciency of the inference strategy.
Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...