| 人工鱼群聚类分析算法* |
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| 引用本文： | 何登旭,曲良东.人工鱼群聚类分析算法*[J].计算机应用研究,2009,26(10):3666-3668. |
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| 作者姓名： | 何登旭 曲良东 |
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| 作者单位： | 广西民族大学,数学与计算机科学学院,南宁,530006 |
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| 基金项目： | 国家民委科学基金资助项目(05GX06);广西自然科学基金资助项目(桂科自0728054) |
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| 摘 要： | 针对人工鱼的特点，提出了一种新的聚类分析算法——人工鱼群聚类分析算法。该算法是一种基于网格和密度的聚类分析算法，它能够自动获得簇类数K，能对任意形状的数据库进行聚类，具有较好的并行性，通过网格大小的控制可获得不同层次的聚类结果。它克服了K均值算法要指定簇数K的困难和对球状数据库效果好的缺憾。
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| 关 键 词： | 聚类分析 人工鱼群算法 密度 网格 |
Algorithm for clustering analysis based on artificial fish-school algorithm |
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| HE Deng-xu,QU Liang-dong.Algorithm for clustering analysis based on artificial fish-school algorithm[J].Application Research of Computers,2009,26(10):3666-3668. |
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| Authors: | HE Deng-xu QU Liang-dong |
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| Affiliation: | (College of Mathematics & Computer Science, Guangxi University for Nationalities, Nanning 530006, China) |
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| Abstract: | This paper proposed a novel kind of algorithm for clusering analysis based on artificial fish-school algorithm.This algorithm was a kind of grid-based method and density-based method.It could get value of K automatically and cluser with arbitrary shapes together, and it had good parallel ability.The size of the grids decided precision of the clustering. It can not only overcome the difficulty of K-means to assign the bunch to count K,but also overcome the disappointment of K-means to the spherical database effect good. |
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| Keywords: | clustering analysis artificial fish-school algorithm density grid |
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