4.7 Article

Some refinements of rough k-means clustering

期刊

PATTERN RECOGNITION
卷 39, 期 8, 页码 1481-1491

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2006.02.002

关键词

cluster algorithms; rough k-means; soft computing; data analysis; forest data; bioinformatics data

向作者/读者索取更多资源

Lingras et at. proposed a rough cluster algorithm and successfully applied it to web mining. In this paper we analyze their algorithm with respect to its objective function, numerical stability, the stability of the clusters and others. Based on this analysis a refined rough cluster algorithm is presented. The refined algorithm is applied to synthetic, forest and microarray gene expression data. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据