Block clustering of Binary Data with Gaussian Co-variables

Serge Iovleff (1) , Seydou Nourou Sylla (2) , Cheikh Loucoubar (2)

1 MODAL - MOdel for Data Analysis and Learning
2 Institut Pasteur de Dakar

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.

Domaines: Applications [stat.AP]; Statistiques [math.ST]

Serge Iovleff, Seydou Nourou Sylla, Cheikh Loucoubar. Block clustering of Binary Data with Gaussian Co-variables. 2020. ⟨hal-01961978v2⟩