CLUSTERING VALIDITY BASED ON THE IMPROVED SDBW INDEX

被引：0
|
作者：
Tong Jianhua Tan Hongzhou(Department of Electronics and Communication Engineering
机构：
来源：
Journal of Electronics(China) | 2009年 / 26卷 / 02期
关键词：
Clustering validity; Inter-cluster similarity; Intra-cluster similarity;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For many clustering algorithms,it is very important to determine an appropriate number of clusters,which is called cluster validity problem.In this paper,a new clustering validity assessment index is proposed based on a novel method to select the margin point between two clusters for in-ter-cluster similarity more accurately,and provides an improved scatter function for intra-cluster similarity.Simulation results show the effectiveness of the proposed index on the data sets under consideration regardless of the choice of a clustering algorithm.
引用
收藏
页码：258 / 264
页数：7
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