A RELAXATION SCHEME FOR IMPROVING A CONVEXITY BASED CLUSTERING METHOD

被引：5

作者：

POSTAIRE, JG

OLEJNIK, S

机构：

[1] Centre d'Automatique, Université des Sciences et Technologies de Lille

来源：

PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 12期

关键词：

CLUSTER ANALYSIS; CONVEXITY; CONFIDENCE MEASURE; RELAXATION; MODE DETECTION;

D O I：

10.1016/0167-8655(94)90111-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In cluster analysis, modes can be detected as regions where the underlying probability density function is locally concave. This paper investigates the possibility of using relaxation in order to improve the discrimination between the modes which are concave and the valleys which are convex.

引用

页码：1211 / 1221

页数：11

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