An Algorithm for Clustering Data Based on Rough Set Theory

被引：0
|
作者：
Wu, Shangzhi [1 ]
机构：
[1] NE Normal Univ, Coll Math & Informat Sci, Lanzhou 730070, Peoples R China
来源：
ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 2 | 2008年
关键词：
Cluster analysis; Rough set theory; Algorithm; Roughness;
D O I：
10.1109/ISISE.2008.71
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A variety of cluster analysis techniques exist to group objects having similar characteristics. While there have been recent advances in algorithms for clustering data, some are unable to handle uncertainty in the clustering process while others have stability issues. This paper proposes a new algorithm for clustering data based on rough set theory, which has the ability to handle the uncertainty in the clustering process
引用
收藏
页码：433 / 436
页数：4
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