An Improved Feature Selection Algorithm Based on Parzen Window and Conditional Mutual Information
Deng Chao He, Hao Wen, Gang Chen, Da Wei Jin · Applied Mechanics and Materials · 2013
In this paper, an improved feature selection algorithm by conditional mutual information with Parzen window was proposed, which adopted conditional mutual information as an evaluation criterion of feature selection in order to overcome the deficiency of feature redundant and used Parzen window to estimate the probability density functions and calculate the conditional mutual information of continuous variables, in such a way as to achieve feature selection for continuous data.