Functional networks and analysis of variance for feature selection

Authors:
Noelia Sánchez-Maroño;María Caamaño-Fernández;Enrique Castillo;Amparo Alonso-Betanzos
Affiliations:
Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Applied Mathematics and Computer Science, University of Cantabria, Santander, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

In this paper a method for feature selection based on analysis of variance and using functional networks as induction algorithm is presented. It follows a backward selection search, but several features are discarded in the same step. The method proposed is compared with two SVM based methods, obtaining a smaller set of features with a similar accuracy.