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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
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
3 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage
CEDRIC - Centre d'études et de recherche en informatique et communications
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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Submitted on : Monday, March 23, 2020 - 6:30:51 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:08 PM


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  • HAL Id : hal-01125057, version 1



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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