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一种由FCM算法推导出的隶属函数研究 被引量：2

Study on membership function deduced from FCM algorithm
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摘要 分析了Fuzzy C—Means算法中模糊指标m→1^+和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。 Analyzed the diversification of membership function of FCM algorithm when fuzzy exponent m→1^＋ and m→∞,and proposed a membership function with fuzzy exponent re,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.
作者 李春芳 刘连忠 陆震
机构地区 北京航空航天大学自动化科学与电气工程学院 河北体育学院网络中心 北京航空航天大学计算机学院
出处 《计算机工程与应用》 CSCD 北大核心 2008年第32期129-131,共3页 Computer Engineering and Applications
基金 国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2004AA113040)。
关键词 聚类 FCM算法 隶属函数 模糊指标 clustering Fuzzy C-Means（FCM） algorithm membership function fuzzy exponent
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献9

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共引文献281

同被引文献21

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计算机工程与应用
2008年 第32期

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