A Clustering Algorithm Based on Distinguishability for Nominal Attributes

被引：0

作者：

Krawczak, Maciej ^{[1
]}

Szkatula, Grazyna ^{[1
]}

机构：

[1] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II | 2012年 / 7268卷

关键词：

cluster analysis; nominal attributes; sets theory;

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：

In this paper we developed a new methodology for grouping objects described by nominal attributes. We introduced a definition of condition's domination within each pair of cluster, and next the measure of omega-distinguishability of clusters for creating a junction of clusters. The developed method is hierarchical and agglomerative one and can be characterized both by high speed of computation as well as extremely good accuracy of clustering.

引用

页码：120 / 127

页数：8

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