Open AccessThe Problem of Clustering Countries of the World on the Geopolitical Data
Author(s) -
I. O. Smirnov,
Oleg Malafeyev,
Tatiana Smirnova,
Yu V Yakovets,
Sergei Strekopytov
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1079/6/062066
Subject(s) - geopolitics , cluster analysis , data set , set (abstract data type) , data mining , politics , geography , regional science , economic geography , political science , computer science , artificial intelligence , law , programming language
This article deals with the problem of clustering countries by a specific set of geo-political features, including demographic, geographical, economic, and other data. The K-means method was chosen as the clustering algorithm. This clustering allows us to identify the specifics and important trends in the development of the current geopolitical situation.