PL EN


Journal
2018 | vol. 22 no. 3 | 84-98
Article title

Analysis of innovations in the European Union via ensemble symbolic density clustering

Authors
Content
Title variants
PL
Analiza innowacyjności krajów Unii Europejskiej z zastosowaniem wielomodelowej klasyfikacji gęstościowej danych symbolicznych
Languages of publication
EN
Abstracts
EN
Innovations play a very important role in the modern economy. They are the key to a higher quality of life, better jobs and economy and sustainable development. The innovation policy is a key element of both national and European Union strategy. The main aim of this paper is to present an ensemble clustering of European Union countries (member states) considering their innovativeness. In the empirical section, symbolic density-based ensemble clustering is used to obtain the co-occurrence matrix. The paper uses symbolicDA, clusterSim and dbscan packages of R software for all calculations. Four different clusters where obtained in the result of clustering. Cluster 1 contains highinnovative countries (innovation leaders). This cluster is also the least homogenous. Cluster 2 contains post-communist countries mainly from central Europe. These countries can be seen as rather mid-low innovative (they try to “catch up” with innovation leaders). Cluster 3 contains moderate innovators. Cluster 4 contains two countries that are also mid-innovative.
Journal
Year
Pages
84-98
Physical description
Contributors
author
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-479a1605-4a85-4e09-833a-91d6a6412444
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.