Farklı Kümeleme Teknikleri ile Ülkelerin İnsani Gelişmişlik Endeksi Verilerinin Analizi

In today’s World, beside the economic development, the social and economic welfare of the citizens are much more important when the countries are compared. Before the 1990s, the positions of the countries are determined by Gross Domestic Product (GDP), purchasing power parity, the stock market of the country and national debt. However, after the introduction of Human Development Index (HDI) by United Nations in 1990, the development level of countries is determined by that index. The reason behind this is, the HDI covers not only the economic development but also, it considers the education, health and income distribution which are the core subcategories for people’s living standard. In this study, the HDI data of 188 countries around the World is used. All the data belongs to the year 2015. The main aim of that study is making the development classification of the countries, with the help of traditional Cluster Analysis techniques. Then, the techniques are compared with United Nation’s development classification.  In this context, some countries’ development class has been changed when the clustering method has changed. In the end, the results are interpreted and the position of the countries are compared.

The Analysis of Human Development Index with Cluster Analysis Techniques

In today’s World, beside the economic development, the social and economic welfare of the citizens are much more important when the countries are compared. Before the 1990s, the positions of the countries are determined by Gross Domestic Product (GDP), purchasing power parity, the stock market of the country and national debt. However, after the introduction of Human Development Index (HDI) by United Nations in 1990, the development level of countries is determined by that index. The reason behind this is, the HDI covers not only the economic development but also, it considers the education, health and income distribution which are the core subcategories for people’s living standard. In this study, the HDI data of 188 countries around the World is used. All the data belongs to the year 2015. The main aim of that study is making the development classification of the countries, with the help of traditional Cluster Analysis techniques. Then, the techniques are compared with United Nation’s development classification.  In this context, some countries’ development class has been changed when the clustering method has changed. In the end, the results are interpreted and the position of the countries are compared.

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