Input Selection Method Based on Subtractive Clustering and Fuzzy Association Rules

摘要：

A new variables selection method based on subtractive clustering and mining fuzzy association rules was proposed. The author applies the algorithm for mining fuzzy association rules to fmd the correlations in the set of the inputs and outputs, and selects the inputs based on the correlations farther. The experimentation indicates that the methods proposed above can find the correlations of valiables effectively and select the input valiables correctly.

关键词： Clustering Fuzzy Association Rules Variables Selection

作者: YAO Chongling ZHANG Abu

作者单位: Department of Automation Xiamen University Xiamen 361005, Fujian, China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 819-822

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）