PLS classification of functional data
Document type :
Communication dans un congrès avec actes
Title :
PLS classification of functional data
Author(s) :
Preda, Cristian [Auteur]
Faculté de Médecine Henri Warembourg - Université de Lille
MOdel for Data Analysis and Learning [MODAL]
Saporta, Gilbert [Auteur]
CEDRIC. Méthodes statistiques de data-mining et apprentissage [CEDRIC - MSDMA]
Leveder, Caroline [Auteur]
Danone Research
Faculté de Médecine Henri Warembourg - Université de Lille
MOdel for Data Analysis and Learning [MODAL]
Saporta, Gilbert [Auteur]
CEDRIC. Méthodes statistiques de data-mining et apprentissage [CEDRIC - MSDMA]
Leveder, Caroline [Auteur]
Danone Research
Conference title :
PLS'05 4th Int. Symp. on PLS and related methods
City :
Barcelone
Country :
Espagne
Start date of the conference :
2005-08
Publication date :
2005-01-01
HAL domain(s) :
Mathématiques [math]/Statistiques [math.ST]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Non spécifiée
Popular science :
Non
Collections :
Source :
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