A weighted mean subtractive clustering algorithm

被引：0

作者：

Department of Computer Science and Technology, Xi'an JiaoTong University, Xi'an, China ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Department of Computer Science and Technology, Xi'an JiaoTong University, Xi'an

[2] School of Information Science and Technology, Tsinghua University, Beijing

[3] Air Force Equipment Academy, Beijing

来源：

Inf. Technol. J. | 2008年 / 2卷 / 356-360期

关键词：

Cluster center; Subtractive clustering; Weighted mean;

D O I：

10.3923/itj.2008.356.360

中图分类号：

学科分类号：

摘要：

In this study, we propose a weighted mean sub-tractive clustering algorithm in which new cluster centers are derived by using weighted mean method on the data points around the center prototypes found by subtractive clustering. Comparisons between weighted mean subtractive clustering and other clustering alogrithms are performed on three dataseis by using three indexes and visual methods. The experimental results show that weighted mean subtractive clustering finds more reasonable cluster centers and groups data better than other clustering alogrithms do. © 2008 Asian Network for Scientific Information.

引用

页码：356 / 360

页数：4

共 8 条

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