Model-Based Co-clustering for Ordinal Data
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
Permalink :
Title :
Model-Based Co-clustering for Ordinal Data
Author(s) :
Conference title :
Working Group on Model-Based Clustering Summer Session
City :
Paris
Country :
France
Start date of the conference :
2016-07-17
Publication date :
2016-07-17
HAL domain(s) :
Statistiques [stat]/Méthodologie [stat.ME]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Submission date :
2020-06-08T14:10:18Z