| 蚁群聚类算法研究及应用 |
| |
| 引用本文： | 裴振奎,李华,宋建伟,韩锦峰.蚁群聚类算法研究及应用[J].计算机工程与设计,2008,29(19). |
| |
| 作者姓名： | 裴振奎 李华 宋建伟 韩锦峰 |
| |
| 作者单位： | 中国石油大学(华东)计算机与通信工程学院,山东,东营,257061 |
| |
| 摘 要： | 聚类作为数据挖掘技术的重要组成部分,在很多领域有着广泛应用.蚁群算法是近几年研究的一种新算法,该算法采用分布式并行计算和正反馈机制,具有易于与其它方法相结合的优点.根据蚁群算法在聚类中的应用及改进型式的不同,文章主要介绍了几种基本的流行的蚁群聚类算法,分析了它们的不同之处,并对蚁群聚类算法今后的研究方向作了展望.
|
| 关 键 词： | 聚类 蚁群算法 信息素 正反馈机制 蚁群聚类算法 |
Investigation and application of ant colony clustering algorithms |
| |
| PEI Zhen-kui,LI Hua,SONG Jian-wei,HAN Jin-feng.Investigation and application of ant colony clustering algorithms[J].Computer Engineering and Design,2008,29(19). |
| |
| Authors: | PEI Zhen-kui LI Hua SONG Jian-wei HAN Jin-feng |
| |
| Affiliation: | PEI Zhen-kui,LI Hua,SONG Jian-wei,HAN Jin-feng(College of Computer , Communication Engineering,China University of Petroleum(East China),Dongying 257061,China) |
| |
| Abstract: | Clustering is widely used in some fields as a part of important data mining.Ant colony algorithms are novel algorithms in re-cently years.These methods have several virtues such as distributed parallel computing,positive feedback mechanism and combination with certain heuristics.Some kinds of basic and popular ant colony clustering algorithms are introduced,the differences of them are analyzed and the direction for study of ant colony algorithms based on application and improving modality in clustering. |
| |
| Keywords: | clustering ant colony algorithm pheromone positive feedback mechanism ant colony clustering algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
