Improved Feature Selection Based On Normalized Mutual Information

摘要：

　　For the question(NMIFS)algorithm has the disadvantages of redundancy.This paper introduces a new feature selection method by enhanced NMIFS algorithm.A new quality estimation function is introduced in the new feature selection algorithm to overcome the shortcomings of the classic NMIFS,and the experiment shows on that normalized mutual information feature selection The experiment shows that the INMIFS can generate impressive results in accuracy and redundancy.

关键词： Mutual Information (MI) feature selection algorithms Normalized Mutual Information Feature Selection (NMIFS)

作者: LI Yin Ma Xingfei Yang Mengxi Zhao Wei Gu Wenqiang

作者单位: Education Information Research Center WuXi Vocation Institute of Commerce Wuxi,China Department I,Software Division,Shanghai Huaqin Telecom Co.Ltd,Shanghai,China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 518-522

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）