Introduction - If you have any usage issues, please Google them yourself
Feature selection and feature extraction task is to find a set of classification of the most effective feature thus the need for more quantitative analysis method to determine the characteristics obtained by the use of dimension and whether the classification of the most beneficial features of this test for the quantitative performance criteria for classification as class separability criterion. Class separability criterion, used to test different combinations of the classification performance characteristics of good and bad effects, and used to export feature selection and feature extraction methods.