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Abstract


EVALUATION WİTH CLUSTERING ANALYSIS ECONOMIC INDICATORS OF EUROPEAN UNION COUNTRIES AND TURKEY BETWEEN THE YEARS 2013-2017

In recent years, the economic fluctuations that have occurred due to different reasons have affected all the countries with strong or non-economic economy in the world. The changes caused by these fluctuations have moved to different positions some European countries, especially those with strong economies. In this study, firstly, conceptual framework about economic indicators such as GDP, export / import ratio and unemployment rate that are used in implementation section, is presented. In this study, clustering analysis, which is one of the multivariate statistical methods that aims to group by taking the characteristics of the primary target objects into consideration, is used to evaluate the situation. Theoretical information on clustering analysis is presented and k-means method is used when applying the method. In this study, unemployment rate, GDP, export / import ratio data of European Union Member States and Turkey between 2013- 2017, taking into account ,are determined their economic grouping of countries for each year. Turkey's economic performance in the years was also examined in accordance with the grouping. Economies of İtaly and Spain have examined in the same group as the countries that have lower economic levels.



Keywords
Clustering Analysis, Economics, European Union



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