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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Sánchez-Maroño, N., Caamaño-Fernández, M., Castillo, E., & Alonso-Betanzos, A. (2006). Functional networks and analysis of variance for feature selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4224 LNCS, pp. 1031–1038). Springer Verlag. https://doi.org/10.1007/11875581_123
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