  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.
