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Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects

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Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects

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Camacho Paez, J.; Ferrer Riquelme, AJ. (2012). Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects. Journal of Chemometrics. 26(1):361-373. doi:10.1002/cem.2440

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64795

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Title: Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] Cross-validation has become one of the principal methods to adjust the meta-parameters in predictive models. Extensions of the cross-validation idea have been proposed to select the number of components in principal ...[+]
Subjects: Principal component analysis , Number of components , Cross-validation , Missing data , Compression
Copyrigths: Reserva de todos los derechos
Source:
Journal of Chemometrics. (issn: 0886-9383 )
DOI: 10.1002/cem.2440
Publisher:
Wiley
Publisher version: https://dx.doi.org/10.1002/cem.2440
Thanks:
Research in this area is partially supported by the Spanish Ministry of Economy and Competitiveness and FEDER funds from the European Union through grant DPI2011-28112-C04-02. Jose Camacho was funded by the Juan de la ...[+]
Type: Artículo

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