| 引用本文： |
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莫锦萍,陈琴,马琳,苏一丹.一种新的K-Means蚁群聚类算法[J].广西科学院学报,2008,24(4):284-286. [点击复制]
- MO Jin-ping,CHEN Qin,MA Lin,SU Yi-dan.A New AntClust Algorithm Based on K-Means Algorithm[J].Journal of Guangxi Academy of Sciences,2008,24(4):284-286. [点击复制]
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| 摘要: |
| 针对蚁群聚类算法聚类质量不高的原因,使用K-Means算法改进蚁群聚类规则,提出一种新的K-Means蚁群聚类算法(KM-AntClust),并通过实验验证新算法的聚类效果。实验结果表明,新的算法可以明显提高聚类质量。 |
| 关键词: 聚类 蚁群算法 K-平均算法 |
| DOI： |
| 投稿时间：2008-10-12 |
| 基金项目: |
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| A New AntClust Algorithm Based on K-Means Algorithm |
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MO Jin-ping, CHEN Qin, MA Lin, SU Yi-dan
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| (School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, 530004, China) |
| Abstract: |
| Due to the low clustering quality of AntClust algorithm,an improved AntClust algorithm is proposed,which optimize the rules of AntClust model with K-Means mind,is called KM-AntClust.Then the clustering effection is verified by experiments.Experimental results demonstrate that the new algorithm can significantly improve the quality of clustering. |
| Key words: clustering ant colony algorithm K-Means |
