Clustering Ensemble based on Emergence of Swarm Intelligence
In this paper, a swarm of agents are created to solve clustering ensemble problem. An agent takes action according to the environmental information, whereas the result of action feed back to the environment. A swarm of agents with well-designed individual model are applied for integrating clusterings of diverse algorithms into a consensus clustering. The agents individual model is so effective that the complex global objective can be achieved through agents pursuing their private goal. As a result, the consensus clustering is more similar to the true clustering than initial clusterings.
Swarm Intelligence Emergence Clustering Ensembles Agent
Wenbin Zhang Yan Yang
School of Information Science and Technology, Southwest Jiaotong University Chengdu, Sichuan, China
国际会议
成都
英文
329-332
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）