A Novel Unascertained C-means Clustering with Application

摘要：

Using the theory and method of unascertained measure,a novel unascertained C-means clustering model and the clustering weight are established.The basic knowledge of the unascertained sets and concept of unascertained clustering was introduced briefly.Then,the unascertained measure was defined and clustering weight were set up.Experimental results show that the presented algorithm performs more robust to noise than the fuzzy C-means clustering (FCM) algorithm do.Furthermore,the results of stock market board analysis using proposed method that indicates the unascertained C-means clustering model provides a quantitative objective and efficient method of stock market board analysis,and hence is suitable to stock market board analysis.

关键词： unascertained C-means clustering categorization weight stock market board analysis

作者: Huawang Shi

作者单位: School of Civil Engineering Hebei University of Engineering Handan, P.R.China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 134-137

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）