The upper bound of the optimal number of clusters in fuzzy clustering

被引：6

作者：

Jian Yu

Qiansheng Cheng

机构：

[1] Peking University,Department of Information Science, School of Mathematical Science

[2] North Jiaotang University,Department of Computer Science and Technology

来源：

Science in China Series : Information Sciences | 2001年 / 44卷 / 2期

关键词：

clustering algorithm; cluster validity; the optimal number of clusters; uncertainty; fuzzy clustering;

D O I：

10.1007/BF02713970

中图分类号：

学科分类号：

摘要：

The upper bound of the optimal number of clusters in clustering algorithm is studied in this paper. A new method is proposed to solve this issue. This method shows that the rulecmax ≤ √n, which is popular in current papers, is reasonable in some sense. The above conclusion is tested and analyzed by some typical examples in the literature, which demonstrates the validity of the new method.

引用

页码：119 / 125

页数：6

共 22 条

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[2]

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