Advances in Feature Selection for Data and Pattern Recognition: An Introduction

Technological progress of the ever evolving world is connected with the need of developing methods for extracting knowledge from available data, distinguishing variables that are relevant from irrelevant, and reduction of dimensionality by selection of the most informative and important descriptors. As a result, the field of feature selection for data and pattern recognition is studied with such unceasing intensity by researchers, that it is not possible to present all facets of their investigations. The aim of this chapter is to provide a brief overview of some recent advances in the domain, presented as chapters included in this monograph.

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