Using SOMbrero to examine the economic convergence of European countries from 2001–2013

J. Deichmann, A. Eshghi, D. Haughton, Mingfei Li
{"title":"Using SOMbrero to examine the economic convergence of European countries from 2001–2013","authors":"J. Deichmann, A. Eshghi, D. Haughton, Mingfei Li","doi":"10.1109/WSOM.2017.8020007","DOIUrl":null,"url":null,"abstract":"This paper uses SOMbrero visualizations to examine two socio-economic dimensions of European states, generated by a factor analysis of time-series data from 2001–2013. We analyze SOMs for 41 countries with regard to “Old Capital” and “New Capital”, two factors that are generated from 12 variables. SOMbrero reveals evidence of various convergence paths over time for these two factors. This approach also clearly uncovers the differential impacts of the European recession upon clusters of European countries. In conclusion, we demonstrate that SOMs are a useful tool for better understanding European convergence.","PeriodicalId":130086,"journal":{"name":"2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSOM.2017.8020007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper uses SOMbrero visualizations to examine two socio-economic dimensions of European states, generated by a factor analysis of time-series data from 2001–2013. We analyze SOMs for 41 countries with regard to “Old Capital” and “New Capital”, two factors that are generated from 12 variables. SOMbrero reveals evidence of various convergence paths over time for these two factors. This approach also clearly uncovers the differential impacts of the European recession upon clusters of European countries. In conclusion, we demonstrate that SOMs are a useful tool for better understanding European convergence.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
运用SOMbrero对2001-2013年欧洲国家经济趋同进行了研究
本文通过对2001-2013年的时间序列数据进行因子分析,使用SOMbrero可视化来检验欧洲国家的两个社会经济维度。我们对41个国家的SOMs进行了“旧资本”和“新资本”的分析,这两个因素是由12个变量产生的。SOMbrero揭示了这两个因素随时间的不同趋同路径的证据。这种方法也清楚地揭示了欧洲经济衰退对欧洲国家集群的不同影响。总之,我们证明了som是更好地理解欧洲趋同的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Empirical evaluation of gradient methods for matrix learning vector quantization Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning Prototypes and matrix relevance learning in complex fourier space Imputation of reactive silica and available alumina in bauxites by self-organizing maps An evolutionary building algorithm for Deep Neural Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1