| 一种改进的模糊C-均值聚类算法 |
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| 引用本文： | 李柏年. 一种改进的模糊C-均值聚类算法[J]. 计算机应用与软件, 2008, 25(6): 98-99 |
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| 作者姓名： | 李柏年 |
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| 作者单位： | 安徽财经大学统计与应用数学学院,安徽,蚌埠,233041 |
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| 摘 要： | 模糊C-均值聚类是一种经典的聚类方法.针对模糊C-均值算法对初始值敏感、收敛结果易陷入局部极小的问题,通过对原始数据的预处理,将欧氏距离推广到广义欧氏距离,得到了加权模糊C-均值聚类的迭代公式,实证分析表明改进后的方法得到的分类结果与嵌入遗传算法的分类基本一致,而且通过非参数检验证实分类效果良好.
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| 关 键 词： | 模糊C 均值聚类 遗传算法 非参数检验 |
| 修稿时间： | 2006-08-07 |
AN IMPROVED ARITHMETIC OF FUZZY C-MEAN CLUSTER |
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| Li Bainian. AN IMPROVED ARITHMETIC OF FUZZY C-MEAN CLUSTER[J]. Computer Applications and Software, 2008, 25(6): 98-99 |
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| Authors: | Li Bainian |
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| Affiliation: | Li Bainian(School of Stat , Applied Mathematics,Anhui University of Finance , Economics,Bengbu 233041,Anhui,China) |
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| Abstract: | Fuzzy C-Mean cluster is a classical cluster method.In accordance with the problems the fuzzy C-Mean algorithm have in the sensitivity against the initial value and being easy to fall into local minimum for the convergent results,the Euclid Distance was extended to the generalized Euclid Distance with pre-processing of the original data and the iterative formula of fuzzy C-Mean cluster with weights was obtained.Demonstratively analyses indicated that the classification result come from the improved method we... |
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| Keywords: | Cluster fuzzy C-Mean Genetic algorithm Nonparametric test |
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