Shadowed Sets Based Threshold Selection in Rough Clustering
Jie Zhou · 2011
Rough set-based clustering has been applied widely in soft clustering since proposed,but the threshhold is oft-en 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.