Zastosowanie hierarchicznej metody aglomeracyjnej do grupowania państw OECD ze względu na efektywność wykorzystania energii
Collegium of Economic Analysis Annals, 2016, issue 40, 411-424
The goal of the paper is clustering OECD states in the context of energy efficiency. For this purpose, the study involved agglomerative hierarchical clustering method of the dataset using the Agglomerative Nesting algorithm implemented as the agnes () function of the cluster package running in the R environment. For evaluation of the results the silhouette () function was applied and for the purpose of presentation in the form of dendrogram – the plot.agnes () function; both functions are included in the cluster package. The results of the performed analysis, especially the determined homogeneous group where Poland was placed, can serve as a starting point for further works associated with energy efficiency improvement.
Keywords: cluster; cluster analysis; cluster’s silhouette; dendrogram; energy efficiency; energy security; group; hierarchical agglomerative clustering methods; R programming language; R software environment (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z40_30.pdf Full text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:sgh:annals:i:40:y:2016:p:411-424
Access Statistics for this article
Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot
More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Series data maintained by Michał Bernardelli ().