Block clustering of Binary Data with Gaussian Co-variables

Serge Iovleff; Seydou Syllla; Cheikh Loucoubar

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arXiv · 1812.08520

Block clustering of Binary Data with Gaussian Co-variables

Serge Iovleff·Seydou Syllla·Cheikh Loucoubar

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Abstract

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.

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Serge Iovleff, Seydou Syllla, Cheikh Loucoubar. 2018-12-20. Block clustering of Binary Data with Gaussian Co-variables. https://arxiv.org/abs/1812.08520

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