Block clustering of Binary Data with Gaussian Co-variables

Iovleff, Serge; Sylla, Seydou; Loucoubar, Cheikh

Type de document :

Pré-publication ou Document de travail

Titre :

Block clustering of Binary Data with Gaussian Co-variables

Auteur(s) :

Iovleff, Serge [Auteur]

MOdel for Data Analysis and Learning [MODAL]
Sylla, Seydou [Auteur]
Institut Pasteur de Dakar
Loucoubar, Cheikh [Auteur]
Institut Pasteur de Dakar

Discipline(s) HAL :

Statistiques [stat]/Applications [stat.AP]
Mathématiques [math]/Statistiques [math.ST]

Résumé en anglais : [en]

The simultaneous grouping of rows and columns is an important technique that is increasingly used in large-scale data analysis. In this paper, we present a novel co-clustering method using co-variables in its construction. ...
Lire la suite >The simultaneous grouping of rows and columns is an important technique that is increasingly used in large-scale data analysis. In this paper, we present a novel co-clustering method using co-variables in its construction. It is based on a latent block model taking into account the problem of grouping variables and clustering individuals by integrating information given by sets of co-variables. Numerical experiments on simulated data sets and an application on real genetic data highlight the interest of this approach.Lire moins >

Langue :

Anglais

Collections :

Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL

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Co_Clustering_Binary_Data_Using_Covariates.pdf
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1812.08520
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