Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map

Authors:
Pyry Niemelä;Timo Honkela
Affiliations:
Helsinki University of Technology, Centre of Adaptive Informatics, TKK, Finland 02015;Helsinki University of Technology, Centre of Adaptive Informatics, TKK, Finland 02015
Venue:
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Year:
2009

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Abstract

The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesis-driven statistical analysis of some numerical data. In this article, we present a complementary method based on data mining and specifically on the use of the self-organizing map. The idea in data mining is to explore the given data without predetermined hypotheses. As a case study, we explore the relationship between parliamentary election results and socio-economic situation in Finland between 1954 and 2003.