计算机科学 ›› 2011, Vol. 38 ›› Issue (10): 209-210.

• 人工智能 • 上一篇    下一篇

基于阴影集的粗糙聚类闭值选择

郭晋华,苗夺谦,周杰   

  1. (同济大学计算机科学与技术专业 上海201804)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Shadowed Sets Based Threshold Selection in Rough Clustering

GUO Jin-hua,MIAO Duo-qian,ZHOU Jie   

  • Online:2018-11-16 Published:2018-11-16

摘要: 粗糙聚类思想自提出以来,在软划分聚类方面取得了广泛应用,但其阂值参数常主观确定,未能考虑数据集 本身的特性。基于阴影集((Shadowed Sets)的优化理论给出了一种客观的阂值选择方法,并将其应用于粗糙模糊C均 值聚类算法。人工数据与UCI数据实验结果表明了所提方法的有效性。

关键词: 阴影集,粗糙聚类,粗糙模糊聚类

Abstract: 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. hhis study based on shadowed sets opti mization theory gave an objective thereshold selection method, and applied it to rough fuzzy GMeans clustering algo rithm. Artificial data and UCI data experimental results show the effectiveness of the proposed method.

Key words: Shadowed sets,Rough clustering,Rough-fuzzy clustering

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