Camacho Páez, José; Ferrer Riquelme, Alberto José(Elsevier, 2014-02-15)
This is the second paper of a series devoted to provide theoretical and practical results and new algorithms for the selection of the number of Principal Components (PCs) in Principal Component Analysis (PCA) using ...
Camacho Páez, José; Ferrer Riquelme, Alberto José(Wiley, 2012-07)
[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
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