Clustering EU's Countries According to I. Th. Mazi's Systemic Geopolitical Theory Using K-Means and MPI

Abstract

As a geographical method of analyzing power redistribution, Systemic Geopolitical Analysis (according to Ioannis Th. Mazis theoretical basis) proposes a multi-dimensional, interdisciplinary research pattern, which embraces economic, cultural, political and defensive facts. The amount of data produced combining these attributes is extremely large and complex. One of the solutions to explore and analyze this data is clustering it and one of the most popular and useful techniques in order to group data within appropriate sets is k-means algorithm which clusters data according to its characteristics. The main disadvantage is its computational complexity which makes the technique very difficult to apply on big and dynamic data sets. In this study, a parallel version of k-means is used in order to cluster the European Union countries according to their attributes and the results obtained prove the importance of this research.