discriminant features in this paper. Based on support vector machine trained on training set,
the samples excluding the misclassified samples and support vector samples are used to
select informative features during the procedure of recursive feature selection. The feature
selection method is applied to seven datasets, and the classification results of the selected
discriminant features show that the method is effective and reliable for selecting features …