AURUM Mühendislik Sistemleri ve Mimarlık Dergisi

Yazarlar: Banu AKKUŞ, Metin ZONTUL

Konular:Bilgisayar Bilimleri, Donanım ve Mimari

Anahtar Kelimeler:Clustering Analysis,K- Means Algorithm,Self Organizing Map,Statistics,Development

Özet: 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 article, 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.

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