Estudio Comparativo de Métodos de Selección de Características de Inferencia Supervisada y No Supervisada

In this work, a comparative study of feature selection methods for supervised and unsupervised inference obtained from classical PCA is presented. We deduce an expression for the cost function of PCA based on the mean square error of data and its orthonormal projection, and then this concept is exte...

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Bibliographic Details
Main Authors: Diego H. Peluffo-Ordóñez, José L. Rodríguez-Sotelo, Germán Castellanos-Domínguez
Format: Article
Language:English
Published: Instituto Tecnológico Metropolitano 2009-12-01
Series:TecnoLógicas
Subjects:
Online Access:http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/242