Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (32): 129-131.DOI: 10.3778/j.issn.1002-8331.2008.32.038

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Study on membership function deduced from FCM algorithm

LI Chun-fang1,3,LIU Lian-zhong2,LU Zhen1   

  1. 1.School of Automation and Electrical Engineering,Beihang University,Beijing 100083,China
    2.School of Computer,Beihang University,Beijing 100083,China
    3.Network Center,Hebei Institute of Physical Education,Shijiazhuang 050041,China
  • Received:2007-12-10 Revised:2008-03-06 Online:2008-11-11 Published:2008-11-11
  • Contact: LI Chun-fang

一种由FCM算法推导出的隶属函数研究

李春芳1,3,刘连忠2,陆 震1   

  1. 1.北京航空航天大学 自动化科学与电气工程学院,北京 100083
    2.北京航空航天大学 计算机学院,北京 100083
    3.河北体育学院 网络中心,石家庄 050041
  • 通讯作者: 李春芳

Abstract: Analyzed the diversification of membership function of FCM algorithm when fuzzy exponent m→1+ and m→∞,and proposed a membership function with fuzzy exponent m,which has two features:(1)the sum of memberships for one point to all patterns equals 1;(2)m controls the fuzzy degree.A contrastive experiment with Iris illustrated the conclusion in model method.

Key words: clustering, Fuzzy C-Means(FCM) algorithm, membership function, fuzzy exponent

摘要: 分析了Fuzzy C-Means算法中模糊指标m→1+m→∞对隶属函数的模糊控制作用,据此提出一种带模糊指标的隶属函数,具有性质:(1)一个数据点对各个模式的隶属度和为1;(2)模糊指标m控制模糊程度。使用Iris数据集对样板法中新旧两种隶属函数做了实验对比。

关键词: 聚类, FCM算法, 隶属函数, 模糊指标