| 基于K均值和免疫算法的聚类分析 |
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| 引用本文： | 谢储晖 刘韬. 基于K均值和免疫算法的聚类分析[J]. 兰州理工大学学报, 2005, 31(5): 87-90 |
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| 作者姓名： | 谢储晖 刘韬 |
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| 作者单位： | [1]中国矿业大学电子信息工程学院,江苏徐州221008 [2]闽江学院计算机科学系,福建福州350108 |
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| 基金项目： | 福建省自然科学基金（130410023）,福建省教育厅计划项目（JB04164） |
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| 摘 要： | 在分析了经典K均值聚类算法的基础上，提出了一种基于K均值和免疫算法的聚类分析算法，理论分析和实验显示，该算法具有全局寻优能力和对初始数据输入鲁棒性，算法具有计算效率高、聚类能力强的特点．
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| 关 键 词： | K均值 免疫算法 聚类分析 |
| 文章编号： | 1000-5889(2005)05-0087-04 |
| 收稿时间： | 2004-08-06 |
| 修稿时间： | 2004-08-06 |
Cluster analysis based on K means and immune algorithm |
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| XIE Chu-hui, LIU Tao. Cluster analysis based on K means and immune algorithm[J]. Journal of Lanzhou University of Technology, 2005, 31(5): 87-90 |
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| Authors: | XIE Chu-hui LIU Tao |
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| Affiliation: | 1. College of Information and Electrical Engineering, China University of Mine and Technology, Xuzhou 221008, China;2. Dept. of Computer Science, Minjiang University, Fuzhou 350108, China |
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| Abstract: | A novel clustering algorithm based on the K means and immune algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering algorithm. The theoretical analysis and experimental results show that, the algorithm has the ability of global optimization and is robustness for inputting initial data. The method has the advantages of high effectiveness of computation and good clustering ability. |
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| Keywords: | K means immune algorithm clustering analysis |
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