Threshold selection based on cluster analysis

被引：54

作者：

Kwon, SH ^{[1
]}

机构：

[1] Yeungnam Univ, Sch EECS, Kyongsan 712749, South Korea

来源：

PATTERN RECOGNITION LETTERS | 2004年 / 25卷 / 09期

关键词：

threshold selection; cluster analysis;

D O I：

10.1016/j.patrec.2004.03.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Threshold selection problem is similar to the clustering problem which can be formulated as one to find the number of clusters and a partition matrix from a given data set using the iterative or non-iterative algorithms. In this paper, a new threshold selection method based on the cluster analysis is proposed. Experimental results are provided to show the effectiveness of the proposed threshold selection method. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：1045 / 1050

页数：6

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