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Publikace

Selection of Most Informative Variables in Statistical Pattern Recognition

Typ:
Výzkumná zpráva
Autoři publikace:
Název edice:
MATEO -The European Network of Mechatronics Centres and Indu
Nakladatel:
UWB
Místo vydání:
Plzeň
Rok:
2007
Klíčová slova:
feture selection
Anotace:
The research report gives an overview of feature selection techniques in statistical pattern recognition with particular emphasis to methods developed by the researchers participating in MATEO Centre of Mechatronics project. Besides discussing the advances in methodology it attempts to put them 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.
 
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