计算机科学与探索2019，Vol.13Issue(1)：158-168,11.
面向函数型数据的动态互信息特征选择方法*
Dynamic Mutual Information Feature Selection for Functional Data??
摘要
Abstract
Functional data are concerned with the observed data as a whole, and focus on the intrinsic structure rather than the presentation form of the data. Compared with the traditional data, functional data contain more information, so the analysis and research on functional data have great value. In functional data analysis, feature selection is also an important issue. This paper proposes the dynamic mutual information (DMI) feature selection method for functional data by sorting features and selecting features dynamically by applying the mutual information theory, which takes account of the intrinsic data features. A stable subset of features can not only be obtained, but also the role of samples in feature selection is fully considered. Thus, the redundancy of information can be avoided. Besides, this paper proposes the dynamic conditional mutual information (DCMI) feature selection method by considering the influence of selected features on candidate features in dynamical feature selection process. The measure of the impact is based on conditional mutual information theory, and the relationship between features and feature subset can be descripted more appropriately. The experimental results on the UCR datasets show that the proposed DMI and DCMI can achieve small feature sub-set and good classification accuracy.关键词
函数型数据/特征选择/互信息/动态互信息/动态条件互信息Key words
functional data/ feature selection/ mutual information/ dynamic mutual information (DMI)/ dynamic conditional mutual information (DCMI)分类
信息技术与安全科学引用本文复制引用
马忱,姜高霞,王文剑..面向函数型数据的动态互信息特征选择方法*[J].计算机科学与探索,2019,13(1):158-168,11.基金项目
The National Natural Science Foundation of China under Grant Nos. 61673249, U1805263 (国家自然科学基金) （国家自然科学基金）
the Research Proj-ect Supported by Shanxi Scholarship Council under Grant No. 2016-004 (山西省回国留学人员科研基金项目) （山西省回国留学人员科研基金项目）
the CERNET Inno-vation Project under Grant No. NGII20170601 (赛尔网络下一代互联网技术创新项目). （赛尔网络下一代互联网技术创新项目）
