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PLS discriminant analysis for functional data

Cristian Preda 1, 2 Gilbert Saporta 3
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 : Partial least squares regression on functional data is applied in the context of linear discriminant analysis with binary response. The discriminant coefficient function is then used to compute score to one of the two classes. The method is applied to gait data and the results are compared with those given by linear discriminant analysis and logistic regression on the principal components of predictors.
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Submitted on : Monday, March 23, 2020 - 6:23:49 PM
Last modification on : Friday, November 27, 2020 - 2:18:03 PM

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Cristian Preda, Gilbert Saporta. PLS discriminant analysis for functional data. ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.653-661. ⟨hal-01125040⟩

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