NOTES ON THE EVOLUTION OF FEATURE SELECTION METHODOLOGY
Petr Somol, Jana Novovičová, Pavel Pudil · Czech digital mathematics library · 2007
The paper gives an overview of feature selection techniques in statistical pattern recog-nition with particular emphasis on methods developed within the Institute of Information Theory and Automation research team throughout recent years. Besides discussing the advances in methodology since times of Perez’s pioneering work the paper attempts to put the methods into a taxonomical framework. The methods discussed include the latest variants of the optimal algorithms, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modelling and feature space selection method. Some related issues are illustrated on real data by means of the Feature Selection Toolbox software.