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Feature selection toolbox software package
- 1.0410787 - UTIA-B 20020001 RIV NL eng J - Journal Article
Pudil, Pavel - Novovičová, Jana - Somol, Petr
Feature selection toolbox software package.
Pattern Recognition Letters. Roč. 23, č. 4 (2002), s. 487-492. ISSN 0167-8655. E-ISSN 1872-7344
R&D Projects: GA ČR GA402/01/0981
Institutional research plan: CEZ:AV0Z1075907
Keywords : pattern recognition * feature selection * loating search algorithms
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.409, year: 2002
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.
Permanent Link: http://hdl.handle.net/11104/0130874
Number of the records: 1