Clustering Approach Based On Von Neumann Topology Artificial Bee Colony Algorithm
文献类型：会议论文
| 作者 | Zou WP(邹文平); Zhu YL(朱云龙) ; Chen HN(陈瀚宁); Ku T(库涛)
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| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Data Mining(DMIN'11) |
| 会议日期 | July 18-21, 2011 |
| 会议地点 | Las Vegas, USA |
| 关键词 | Article Bee Colony Von Neumann topology Swarm intelligence Data cluster k-means |
| 页码 | 121-126 |
| 中文摘要 | Article Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper proposes a new variant of the ABC algorithm based on Von Neumann topology structure, namely Von Neumann Neighborhood Article Bee Colony (VABC). VABC significantly improves the original ABC in solving complex optimization problems. Clustering is a popular data analysis and data mining technique. The most popular technique for clustering is k-means algorithm. However, the k-means algorithm highly depends on the initial state and converges to local optimum olution. In this work, VABC algorithm is tested on a set of widely-used benchmark functions and is used for solve data clustering on several benchmark data sets. The performance of VABC algorithm is compared with ABC and Particle Swarm Optimization (PSO) algorithms. The simulation results show that the proposed VABC outperforms the other two algorithms in terms of accuracy, robustness, and convergence speed. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the International Conference on Data Mining (DMIN'11)
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| 语种 | 英语 |
| ISBN号 | 1-60132-168-6 |
| 源URL | [http://ir.sia.cn/handle/173321/8339]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室 |
| 推荐引用方式 GB/T 7714 | Zou WP,Zhu YL,Chen HN,et al. Clustering Approach Based On Von Neumann Topology Artificial Bee Colony Algorithm[C]. 见:2011 International Conference on Data Mining(DMIN'11). Las Vegas, USA. July 18-21, 2011. |
入库方式： OAI收割
来源：沈阳自动化研究所
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