Analysis of User-Weighted π Rough k-Means

摘要：

　　Since its introduction by Lingras and West a decade ago,rough k-means has gained increasing attention in academia as well as in practice.A recently introduced extension,π rough k-means,eliminates need for the weight parameter in rough k-means applying probabilities derived from Laplaces Principle of Indifference.However,the proposal in its more general form makes it possible to optionally integrate user-defined weights for parameter tuning using techniques such as evolutionary computing.In this paper,we study the properties of this general user-weighted π k-means through extensive experiments.

关键词： Rough k-Means User-Defined Weights Soft Clustering

作者: Georg Peters Pawan Lingras

作者单位: Munich University of Applied Sciences, Munich,Germany & Australian Catholic University, Sydney, Aust Saint Marys University, Halifax, Canada

会议类型: 国际会议

会议名称: The 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014)(第九届粗糙集与知识技术国际会议)

会议地点: 上海

会议语种:英文

页码: 547-556

在线出版日期: 2014-10-24（万方平台首次上网日期，不代表论文的发表时间）