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. Numerical experiments on simulated data illustrate the efficiency of the inference strategy.
Domaines
Méthodologie [stat.ME]| Origine | Fichiers produits par l'(les) auteur(s) |
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