PLS classification of functional data

Cristian Preda; Gilbert Saporta; Caroline Leveder

Conference papers

PLS classification of functional data

Cristian Preda ^{1, 2} Gilbert Saporta ³ Caroline Leveder ⁴

1 MODAL - MOdel for Data Analysis and Learning

LPP - Laboratoire Paul Painlevé - UMR 8524, Université de Lille, Sciences et Technologies, Inria Lille - Nord Europe, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694, Polytech Lille - École polytechnique universitaire de Lille

2 Faculté de Médecine Henri Warembourg - Université de Lille

3 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage

CEDRIC - Centre d'études et de recherche en informatique et communications

4 Danone Research

Abstract : Linear discriminant analysis is studied when the predictors are data of functional type(curves). Due to the infinite dimension of the predictor space, discriminant coefficients functions cannot be derived as in the classical setting.Partial least squares approach is then used in this context. Results of an application to kneading data are presented.

Document type :

Conference papers

Domain :

Mathematics [math] / Statistics [math.ST]

Complete list of metadata

https://hal.archives-ouvertes.fr/hal-01125057
Contributor : Laboratoire CEDRIC Connect in order to contact the contributor
Submitted on : Monday, March 23, 2020 - 6:30:51 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:08 PM

PLS classification of functional data

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PLS classification of functional data

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