| 改进蚁群算法的动态K-均值聚类分析 |
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| 引用本文： | 郭斐斐.改进蚁群算法的动态K-均值聚类分析[J].教育技术导刊,2007(7). |
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| 作者姓名： | 郭斐斐 |
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| 作者单位： | 中国地质大学 计算机学院 |
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| 摘 要： | 提出了一种基于改进蚁群算法的动态K-均值聚类算法思想。该算法首先利用蚁群算法较强处理局部极值的能力,动态地确定了聚类数目和中心,然后利用蚁群聚类得到的结果,进行K-均值聚类弥补蚁群算法的不足。两者的有机结合可以寻求到具有全局分布特性的最优聚类,实现基于改进的蚁群聚类算法分析。
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| 关 键 词： | 蚁群算法 K-均值聚类 动态K-均值聚类算法 |
Dynamic K-mean Clustering Analysis Based on Improved Ant Colony Algorithm |
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| GUO Fei-fei.Dynamic K-mean Clustering Analysis Based on Improved Ant Colony Algorithm[J].Introduction of Educational Technology,2007(7). |
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| Authors: | GUO Fei-fei |
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| Abstract: | This paper proposes a method of dynamic K-mean clustering analysis based on ant colony algorithm.The algorithm makes use of the great ability of ant colony algorithm for disposing local extremum firstly.And then the results from previous for K-mean clustering method can make up the deficiency of ant colony algorithm.In this way,the combination of ant colony algorithm with K-means clustering organically could find the whole distributing optimization clustering to achieve improved clustering analysis based on improved function. |
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| Keywords: | ant colony algorithm K-means clustering dynamic K-mean clustering algorithm |
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