Özet:

Clustering analysis is one of the multivariate analysis techniques that allow objects to be divided into different groups. In the cluster analysis, which presents summary information to the researcher, objects that share similar characteristics take place in the same group. In this study, OECD countries have been clustered in terms of quality of democracy indicators by cluster analysis. The study is aimed to determine the position of Turkey among OECD countries. The data set used in the study is obtained from the Sustainable Governance Indicators (SGI 2019) report published by the Bertelsmann Stiftung Foundation. OECD countries are clustered in terms of four democracy indicators: human rights and political free-doms, the electoral process, the rule of law and access to information. The weights of these four indicators are calculated using the CRITIC (CRiteria Importance Through Intercriteria Correlation) method and this weighted data set is used in cluster analysis. In the clustering analysis performed using Cascade K-Means algorithm, one of the partitional-based clustering algorithms, countries are divided into four groups. Turkey has taken place in the same cluster with Hungary and Mexico. Discriminant analysis is applied to the clustering results in order to test the clustering results. 100% correct classification rate is obtained by discriminant analysis.

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