| 蚁群聚类算法综述 |
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| 引用本文： | 张建华,江贺,张宪超.蚁群聚类算法综述[J].计算机工程与应用,2006,42(16):171-174,211. |
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| 作者姓名： | 张建华 江贺 张宪超 |
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| 作者单位： | 1. 大连理工大学软件学院,大连,116621;阜阳师范学院计算机系,安徽,阜阳,236032
2. 大连理工大学软件学院,大连,116621 |
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| 摘 要： | 数据聚类是重要的数据挖掘技术,在工程和技术等领域具有广泛的应用背景。蚁群算法作为一种新型的优化方法,具有很强的鲁棒性和适应性。文章着重介绍蚁群聚类算法的研究情况,阐述当今流行的蚁群聚类算法的基本原理及其特性,旨在为蚁群聚类算法的发展提供引导作用。
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| 关 键 词： | 数据挖掘 蚁群算法 聚类 |
| 文章编号： | 1002-8331-（2006）16-0171-04 |
| 收稿时间： | 2005-09 |
| 修稿时间： | 2005-09 |
Survey of Ant Colony Clustering Algorithms |
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| Zhang Jianhua,Jiang He,Zhang Xianchao.Survey of Ant Colony Clustering Algorithms[J].Computer Engineering and Applications,2006,42(16):171-174,211. |
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| Authors: | Zhang Jianhua Jiang He Zhang Xianchao |
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| Affiliation: | 1School of Software,Dalian University of Technology,Dalian 116621;2Department of Computer,Fuyang Normal College,Fuyang,Anhui 236032 |
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| Abstract: | Clustering is an important technique of data mining.It is widely used in fields of engineering and technology. Ant colony algorithms are robust and adaptable as novel optimization methods.This paper emphatically introduces the research of ant colony clustering algorithms ,and describes the basic principle and characteristics of existing popular ant colony clustering algorithms.It affords direction for the future work of ant colony clustering algorithms. |
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| Keywords: | data mining ant colony algorithm clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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