Model-based co-clustering for ordinal data

Jacques, Julien; Biernacki, Christophe

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes

Title :

Model-based co-clustering for ordinal data

Author(s) :

Jacques, Julien [Auteur]
Entrepôts, Représentation et Ingénierie des Connaissances [ERIC]
MOdel for Data Analysis and Learning [MODAL]
Biernacki, Christophe [Auteur]

Laboratoire Paul Painlevé - UMR 8524 [LPP]
MOdel for Data Analysis and Learning [MODAL]

Conference title :

48èmes Journées de Statistique organisée par la Société Française de Statistique

City :

Montpellier

Country :

France

Start date of the conference :

2016

HAL domain(s) :

Mathématiques [math]/Statistiques [math.ST]
Statistiques [stat]/Théorie [stat.TH]

English abstract : [en]

A model-based coclustering algorithm for ordinal data is presented. Thisalgorithm 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. Thisalgorithm 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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL

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