Best Clustering Configuration Metrics:Towards Multiagent Based Clustering

摘要：

Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number of validation metrics to identify the most effective metric with respect to this context. This paper also describes a process whereby such metrics can be used to determine the optimum parameters typically required by clustering algorithms, and a process for incorporating this into a MAC framework to generate best cluster configurations with minimum input from end users.

关键词： Cluster Validity Metrics Multi-Agent Clustering

作者: Santhana Chaimontree Katie Atkinson Frans Coenen

作者单位: Department of Computer Science University of Liverpool UK

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 48-59

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）