Model-Based Co-clustering for Ordinal Data
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
URL permanente :
Titre :
Model-Based Co-clustering for Ordinal Data
Auteur(s) :
Titre de la manifestation scientifique :
Working Group on Model-Based Clustering Summer Session
Ville :
Paris
Pays :
France
Date de début de la manifestation scientifique :
2016-07-17
Date de publication :
2016-07-17
Discipline(s) HAL :
Statistiques [stat]/Méthodologie [stat.ME]
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2020-06-08T14:10:18Z