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CLUSTERING LIVABLE COUNTRIES USING SELF-ORGANIZING MAPS

People living in developing and underdeveloped countries are looking for a way to live in countries that are developed in terms of democracy, have high economic welfare, and have high social life. In this study, considering the 2017 "Better Life Index" data, prepared by the OECD a cluster analysis has been conducted for the livable countries. Better Life Index consists of 22 variables in housing, income, employment, society, education, environment, civil participation, health, life satisfaction, security, work life balance groups. One-way ANOVA and Kruskal Wallis tests are also carried out in order to examine the presence of any statistically significant difference among the clusters.



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Keywords: etter Life Index, OECD, Clustering Analysis, Livable Countries, Data Mining, Self-Organizing Maps

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EISSN: 2717-9230


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