郑州大学学报（理学版）2018，Vol.50Issue(1)：39-46,8.DOI:10.13705/j.issn.1671-6841.2017108
基于聚类思想的加权条件熵及属性约简
The Weighted Conditional Entropy and Attribute Reduction Based on Clustering
摘要
Abstract
Information granules and a method to determine the weight of the object were obtained by using clustering analysis.At the same time,a weighted conditional entropy was defined by combining the object weights with the entropy theory.Finally,an improved method to determine the attribute significance and the corresponding attribute reduction algorithm were obtained based on the new definition of weighted con -ditional entropy.Experiments were performed on UCI data sets.And the results showed that the proposed algorithm was feasible and reasonable.关键词
相容关系/聚类分析/加权条件熵/约简Key words
compatibility relation/cluster analysis/weighted conditional entropy/reduction分类
信息技术与安全科学引用本文复制引用
范会涛,冯涛..基于聚类思想的加权条件熵及属性约简[J].郑州大学学报（理学版）,2018,50(1):39-46,8.基金项目
国家自然科学基金项目(61300121,61573127,61502144) （61300121,61573127,61502144）
河北省自然科学基金项目(A2014205157) （A2014205157）
河北科技大学博士科研启动基金项目(QD201228). （QD201228）
