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[PS07] PCR and PLS for Clusterwise Regression on Functional Data

Chapitres de Livre : Titre du livre: "Selected Contributions in Data Analysis and Classification", January 2007, Springer, pp. 589-598, (isbn: 978-3-540-73558-8)

Mots clés: Clusterwise regression, Functional data

Résumé: Clusterwise regression is applied to functional data, using PCR and PLS as regularization methods for the functional linear regression model.We compare these two approaches on simulated data as well as on stock exchange data.

Commentaires: Brito, P.; Bertrand, P.; Cucumel, G.; De Carvalho, F. (Eds.)

Equipe: msdma

BibTeX

@inbook {
PS07,
title="{Selected Contributions in Data Analysis and Classification}",
chapter="{PCR and PLS for Clusterwise Regression on Functional Data }",
author="C. Preda and G. Saporta",
year=2007,
publisher="Springer",
pages="589-598",
note="{Brito, P.; Bertrand, P.; Cucumel, G.; De Carvalho, F. (Eds.)}",
isbn="978-3-540-73558-8",
}