| 一种基于人工免疫原理的混合聚类算法 |
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| 引用本文： | 冯栋梁,莫宏伟,陆娜. 一种基于人工免疫原理的混合聚类算法[J]. 自动化技术与应用, 2008, 27(1): 5-7 |
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| 作者姓名： | 冯栋梁 莫宏伟 陆娜 |
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| 作者单位： | 哈尔滨工程大学,自动化学院,黑龙江,哈尔滨,150001;哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 黑龙江省科技攻关项目 , 黑龙江省留学回国人员科研启动基金 |
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| 摘 要： | 通过借鉴生物免疫系统中的克隆选择原理和记忆机制,提出了一种基于人工免疫原理的混合聚类算法.该算法引入了记忆抗体的分化和抑制机制,可有效地摆脱局部最优点;同时还集成了K-均值搜索算子,用于加快收敛速度.与K-均值方法比较,其具有更快的收敛速度和更高的收敛精度.仿真结果表明,所提算法是有效的.
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| 关 键 词： | 聚类算法 人工免疫原理 K-均值 |
| 文章编号： | 1003-7241（2008）01-0005-03 |
| 收稿时间： | 2007-08-15 |
| 修稿时间： | 2007-08-15 |
A New Hybrid Clustering Method Based on the Artificial Immune Theory |
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| FENG Dong-liang,MO Hong-wei,LU Na. A New Hybrid Clustering Method Based on the Artificial Immune Theory[J]. Techniques of Automation and Applications, 2008, 27(1): 5-7 |
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| Authors: | FENG Dong-liang MO Hong-wei LU Na |
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| Abstract: | Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented. The local optimal solution can be avoided by the interaction between memory cells and antibodies. Also, the K-means algorithm is used as a search operator in order to improve the convergence speed. Comparing with the K-means algorithm based clustering approaches the proposed algorithm can obtain the best partition of data sets. Experimental results indicate the validity of the proposed algorithm. |
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| Keywords: | clustering algorithm artificial immune theory K-means |
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