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.
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页码：120 / 127
页数：8
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