Clusterwise multiblock PLS
Abstract
Clusterwise linear regression aims at partitioning a dataset into clusters
characterized by their own regression coefficients. To deal with multiblock
data, an extension of clusterwise regression to multiblock PLS is proposed. As
this method is component-based, it may handle high dimensional data. The interest
of the proposed method will be illustrated on the basis of a simulation
study
Domains
Statistics [stat]
Origin : Files produced by the author(s)