| 蚁群算法在数据挖掘中的应用研究 |
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| 引用本文： | 张惟皎,刘春煌,尹晓峰.蚁群算法在数据挖掘中的应用研究[J].计算机工程与应用,2004,40(28):171-173. |
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| 作者姓名： | 张惟皎 刘春煌 尹晓峰 |
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| 作者单位： | 铁道科学研究院电子所,北京,100081 |
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| 基金项目： | 铁道部科技研究开发计划项目资助(编号:2001X008-B) |
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| 摘 要： | 蚁群算法是一种新型的模拟进化算法,在求解复杂的组合优化问题中获得成功并表现出良好的性能。文章介绍了蚁群算法在分类和聚类两个重要的数据挖掘任务中的应用研究情况,阐述了算法的基本原理及特性,最后总结了蚁群算法在数据挖掘应用中尚待解决的问题。
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| 关 键 词： | 蚁群算法 数据挖掘 聚类 分类 |
| 文章编号： | 1002-8331-(2004)28-0171-03 |
Application Research on Data Ming Using Ant Colony Algorithm |
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| Zhang Weijiao Liu Chunhuang Yin Xiaofeng.Application Research on Data Ming Using Ant Colony Algorithm[J].Computer Engineering and Applications,2004,40(28):171-173. |
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| Authors: | Zhang Weijiao Liu Chunhuang Yin Xiaofeng |
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| Abstract: | Ant colony algorithm is a novel simulated evolutionary algorithm which shows many promising characters and has been applied successfully to a range of different combinatorial problem.This paper respectively introduces the appli-cations of ant colony algorithm to two major data mining tasks-classification and clustering,addresses the basic princi-ple and characteristics of algorithms.Finally the problems to be solved mentioned. |
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| Keywords: | ant colony algorithm data mining clustering analyse classification |
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