Publication details

Feature selection toolbox software package

Journal Article

Pudil Pavel, Novovičová Jana, Somol Petr


serial: Pattern Recognition Letters vol.23, 4 (2002), p. 487-492

research: CEZ:AV0Z1075907

project(s): GA402/01/0981, GA ČR

keywords: pattern recognition, feature selection, loating search algorithms

abstract (eng):

Recent advances in the statistical methodology for selecting optimal subsets of features for data representation and classification are presented. The paper attempts to provide a guideline which approach to choose with respect to the extent of a priori knowledge of the problem. Two basic approaches are reviewed and the conditions under which they should be used are specified. A consulting system aimed to guide a user to choose a proper method for the problem at hand is being prepared.

Cosati: 09K, 12B

RIV: BB