| 优化初始聚类中心的K-means算法 |
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| 引用本文： | 刘强,吴京慧. 优化初始聚类中心的K-means算法[J]. 信息技术, 2009, 0(2) |
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| 作者姓名： | 刘强 吴京慧 |
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| 作者单位： | 江西财经大学信息管理学院,南昌,330013 |
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| 摘 要： | 从传统K-means算法对初始中心的敏感性分析出发,提出了一种优化初始聚类中心的算法.该算法结合一种改进的遗传算法和网络中心数学模型对初始中心进行优化,有效地解决了算法对初始聚类中心的敏感性问题,取得了较好的实验结果.
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| 关 键 词： | K-平均算法 聚类中心 遗传算法 网络中心 |
Optimizing initial cluster center of K-means algorithm |
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| LIU Qiang,WU Jing-hui. Optimizing initial cluster center of K-means algorithm[J]. Information Technology, 2009, 0(2) |
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| Authors: | LIU Qiang WU Jing-hui |
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| Affiliation: | School of Information Management;Jiangxi University of Finance and Economics;Nanchang 330013;China |
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| Abstract: | This article embarks from the traditional K-means algorithm to the initial center's sensitive analysis,proposes one kind of optimized initial cluster center algorithm. This algorithm unifies one kind of the improved genetic algorithm and the hub mathematical model carries on the optimization to the initial center,the effective solution algorithm to the initial cluster center's sensitivity and obtains the good experimental result. |
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| Keywords: | K-means cluster center genetic algorithm hub |
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