An application on clustering countries with data mining methods based on development criteria

The process of extracting meaningful results from data obtained in the direction of a goal is called data mining. Clustering analysis is also frequently used in the field of data mining. In this thesis study, firstly clustering analysis concepts are explained. These algorithms have been applied to the data obtained from the World Bank website after the algorithms to be used in the study have been introduced. The purpose of this study is to cluster countries according to their development criteria, taking into account pre-determined parameters. The study covered data from 214 countries . Self Organizing Map and K-Means clustering algorithms were applied to these data, and then the obtained clusters were evaluated. In addition, the position of our country in these clusters has been examined.