| FCM聚类算法中模糊加权指数m的优化 |
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| 引用本文： | 石海霞,叶水生.FCM聚类算法中模糊加权指数m的优化[J].计算机应用与软件,2009,26(5). |
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| 作者姓名： | 石海霞 叶水生 |
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| 作者单位： | 南昌航空大学计算机学院,江西,南昌,330063 |
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| 摘 要： | 研究模糊加权指数m对FCM(Fuzzy c-means)算法的聚类性能的影响,从划分熵入手提出了变权划分熵的概念,并基于模糊决策理论提出了一种最优加权指数m*的选取方法.该方法利用小的目标函数值和小的变权划分熵对应好的数据分类结果这一特性,将m的确定转化为一个带约束的非线性规划问题,从而确定最佳取值m*.实验结果表明该方法是非常有效和灵敏的.
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| 关 键 词： | 模糊加权指数 变权划分熵 模糊决策 |
OPTIMIZING FUZZY WEIGHTED EXPONENT m IN FUZZY C-MEANS ALGORITHM |
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| Shi Haixia,Ye Shuisheng.OPTIMIZING FUZZY WEIGHTED EXPONENT m IN FUZZY C-MEANS ALGORITHM[J].Computer Applications and Software,2009,26(5). |
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| Authors: | Shi Haixia Ye Shuisheng |
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| Affiliation: | School of Computer;Nanchang Hangkong University;Nanchang 330063;Jiangxi;China |
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| Abstract: | In this paper we study the effect of fuzzy weighted exponent m on the clustering performance of FCM(Fuzzy c-means)algorithm.It puts forward a concept of variable weight partition entropy based on partition entropy,and presents a method for choosing optimal weighted exponent m based on fuzzy decision theory.This method translates the determination of m into a problem of non-linear planning with restriction by utilising the characteristic of that the minimum objective function value and the minimum variable w... |
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| Keywords: | FCM |
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