[NBS18] Clusterwise multiblock PLS

Conférence Nationale avec comité de lecture : SFC 2018, September 2018, PARIS, FRANCE,

Mots clés: Multiblock component method. Clusterwise regression. Cluster analysis. Dimension reduction

Résumé: 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

Collaboration: ANSES


@inproceedings {
title="{Clusterwise multiblock PLS }",
author=" N. Niang Keita and S. Bougeard and G. Saporta ",
booktitle="{SFC 2018}",
address="PARIS, FRANCE",