Economies Clustering Using SOM-Based Dissimilarity

被引：1
|
作者：
Chudziak, Adam [1 ]
机构：
[1] Warsaw Sch Econ, Niepodleglosci 128, PL-02554 Warsaw, Poland
来源：
ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EANN 2016 | 2016年 / 629卷
关键词：
Self-Organising Maps; Hierarchical clustering; Dissimilarity; Political economy; Country clusters;
D O I：
10.1007/978-3-319-44188-7_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Clustering of countries and economies has been done for a long time by expert comparing to ideal theoretical entities. More recently a data driven approach has been taken, including, so called, black box methods. In this paper a SOM-based dissimilarity measure is presented and used for agglomerative hierarchical clustering of economies. It turns out that the results differ significantly from those obtained via a more traditional Euclidean distance based approach.
引用
收藏
页码：111 / 122
页数：12
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