Ensemble clustering of symbolic data in identification of innovation of European Union countries Cover Image

Klasyfikacja wielomodelowa danych symbolicznych w badaniu innowacyjności krajów Unii Europejskiej
Ensemble clustering of symbolic data in identification of innovation of European Union countries

Author(s): Marcin Pełka
Subject(s): ICT Information and Communications Technologies, Socio-Economic Research
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: symbolic data; innovations; ensemble clustering

Summary/Abstract: Innovations play a very important part of moden economy. They are the key to higher life quality, better jobs and ecology. The innovation policy is a key element of a national and European Union strategy. The aim of the paper is to present an ensemble clustering of European Union countries considering their innovativeness. This approach allowed to discover four different clusters of countries in innovations. In the empirial part symbolicDA and clusterSim packages of R software were used. The ensemble approach allowed to obtain four different clusters.

  • Issue Year: 2017
  • Issue No: 56
  • Page Range: 42-51
  • Page Count: 10
  • Language: Polish