| 一种基于人工免疫系统的聚类算法 |
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| 引用本文： | 刘韬,王耀才,王致杰.一种基于人工免疫系统的聚类算法[J].计算机工程与应用,2004,40(19):182-184. |
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| 作者姓名： | 刘韬 王耀才 王致杰 |
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| 作者单位： | 1. 中国矿业大学,徐州,221008;中国人民银行宿州市中心支行,宿州,234000
2. 中国矿业大学,徐州,221008 |
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| 摘 要： | 该文根据数据分析中聚类判断所遵循的原则,模拟抗体捕获抗原的机制,提出了一种基于人工免疫系统的聚类算法。该方法最终可以获得全局最优解,并且具有本质上的并行性、计算效率高、聚类能力强等优点。
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| 关 键 词： | 数据挖掘 人工免疫系统 聚类 算法 |
| 文章编号： | 1002-8331-(2004)19-0182-03 |
A New Clustering Method Based on Artificial Immune System |
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| Liu Tao , Wang Yaocai Wang Zhijie.A New Clustering Method Based on Artificial Immune System[J].Computer Engineering and Applications,2004,40(19):182-184. |
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| Authors: | Liu Tao Wang Yaocai Wang Zhijie |
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| Affiliation: | Liu Tao 1,2 Wang Yaocai 1 Wang Zhijie 11 |
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| Abstract: | In this paper a new algorithm for clustering based on artificial immu ne system is presented according to the principle that human doing clustering and how Antibody captures Antigen.The global optimal solution can be obtained by us ing this method.The method has the advantages of high parallel,high efficiency of computing and good clustering ability. |
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| Keywords: | data mining artificial im mune system clustering algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
