A hybridlter =wrapper approach off eature selection using information theory
Marc Sebban, Richard Nock · 2001
We focus on a hybrid approach of feature selection. We begin our analysis with a $lter model , exploiting the 11 geometrical information contained in the minimum spanning tree (MST) built on the learning set. This model exploits a statistical test of relative certainty gain, used in a forward selection algorithm. In the second part of the paper, we 13