Presenting a clustering algorithm for macroeconomic data analysis

Moones Bazrafshan¹

1) Master of statistics, South Kerman Power Distribution Company, Iran

IOI Code : XBZD-CKAZF
Publication : 2nd International Conference on Modern Development in Management, Economics and Accounting (2imea.com)
Abstract :
    We live in a world that generates a huge amount of information every day. The most important role that data plays, making it a good place to conduct better analyzes, is data mining used to explore information and discover knowledge. To do this, there are several algorithms that are applied for a particular purpose. Clustering is one of the most important data mining algorithms and has many uses in the discovery of knowledge. Therefore, in this paper, the concepts and types of clustering methods including the hierarchical method and Clustering algorithm is one of the most important data mining algorithms. The results of the research show that hierarchical methods are used in low volume data and are more common than non-hierarchical methods.

Keywords : data mining clustering distance