Research on Fuzzy Cluster Analysis algorithm in Data Mining

摘要：

Data Mining is a hot topic in information industry in recent years.Cluster analysis is the core technique of Data Mining.Based on the classical Fuzzy Cluster Analysis FCM algorithm,its disadvantage of missing proper prototypes is improved and an improved algorithm-NFCM algorithm is proposed in this article.It is illuminated theoretically that NFCM algorithm can produce ideal data prototypes and the primary classification results are presented.The experiment results verify the proficiency of the algorithm.

关键词： FCM algorithm Data Mining Fuzzy Cluster Analysis NFCM algorithm

作者: Wei-bing FENG Fang YANG

作者单位: College of Science,Xian university of Science & Technology,College of ComputerScience Northwestern School of information and automation Xian university of Architechture & Technology Xian,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 1-5

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）