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Communication Dans Un Congrès Année : 2005

PLS discriminant analysis for functional data

Résumé

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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Dates et versions

hal-01125040 , version 1 (23-03-2020)

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  • HAL Id : hal-01125040 , version 1

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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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