会议专题

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

2013 2nd International Symposium on Computer,Communication,Control and Automation(ISCCCA-13)(2013年第二届计算机、通信与自动化国际会议)

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)