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PLS classification of functional data

Cristian Preda 1, 2 Gilbert Saporta 3 Caroline Leveder 4
1 MODAL - MOdel for Data Analysis and Learning
Inria Lille - Nord Europe, LPP - Laboratoire Paul Painlevé - UMR 8524, CERIM - Santé publique : épidémiologie et qualité des soins-EA 2694, Polytech Lille - École polytechnique universitaire de Lille, Université de Lille, Sciences et Technologies
2 CERIM - Faculté de Médecine, pôle Recherche
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.
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https://hal.archives-ouvertes.fr/hal-01125057
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Submitted on : Monday, March 23, 2020 - 6:30:51 PM
Last modification on : Sunday, March 29, 2020 - 6:26:29 PM

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  • HAL Id : hal-01125057, version 1

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CEDRIC-CNAM | CNAM | INSMI | INRIA | UNIV-LILLE | CNRS

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Cristian Preda, Gilbert Saporta, Caroline Leveder. PLS classification of functional data. PLS'05 4th Int. Symp. on PLS and related methods, Aug 2005, Barcelone, Spain. ⟨hal-01125057⟩

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