Volume 13 Issue 5/6 August 2016 Applied Research Notes 5

Matej Puzder
Technical University of Košice
Department of Business and Management, Faculty of Mining, Ecology, Process Control and Geotechnologies

Michaela Koščová
Comenius University
Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and Informatics

Ivan Košč
Slovak University of Technology
Institute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology


The main aim of the presented paper is to evaluate and to compare tourism in EU countries in 2012 and 2013. EU countries are compared with regard to the cause of the trips made by habitants of each EU country. Four different causes of trips were distinguished: business trips, visits to relatives and friends, holidays and others. Cluster analysis was applied with the aim to detect groups of similar countries, according to character of tourism. Cluster analysis is a multivariate statistical method which offers two different approaches: non-hierarchical and hierarchical. The result of hierarchical cluster analysis is so-called dendrogram which shows EU countries organized in a treelike structure. On the other hand, non-hierarchical cluster analysis files countries into separate groups.

Keywords: tourism, European Union, cluster analysis, Non-hierarchical, Hierarchical cluster analysis

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