计算机科学与探索2011，Vol.38Issue(10)：209-210,227,3.
基于阴影集的粗糙聚类阈值选择
Shadowed Sets Based Threshold Selection in Rough Clustering
摘要
Abstract
Rough set-based clustering has been applied widely in soft clustering since proposed,but the threshhold is often given subjectively, fails to consider the characteristics of the data set itself. This study based on shadowed sets optimization theory gave an objective thereshold selection method, and applied it to rough fuzzy C-Means clustering algorithm. Artificial data and UCI data experimental results show the effectiveness of the proposed method.关键词
阴影集/粗糙聚类/粗糙模糊聚类Key words
Shadowed sets,Rough clustering,Rough-fuzzy clustering引用本文复制引用
郭晋华,苗夺谦,周杰..基于阴影集的粗糙聚类阈值选择[J].计算机科学与探索,2011,38(10):209-210,227,3.基金项目
本文受国家自然科学基金项目(60970061,61085056)资助. （60970061,61085056）
