An Improved Feature Selection Algorithm Based on Parzen Window and Conditional Mutual Information
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.
Feature Selection Conditional Mutual Information Parzen window
He Deng-chao Hao Wen-ning Chen Gang Jin Da-wei
Command Information Systems Institute PLA University of Science &Technology Nanjing 210007 China
国际会议
太原
英文
334-337
2013-04-06(万方平台首次上网日期,不代表论文的发表时间)