The Study of Trajectories of the Development of State Capacity Using Ordinal-Invariant Pattern Clustering and Hierarchical Cluster Analysis

P. 198–205.

Myachin A. L., Akhremenko A. S.

This work is devoted to the methodology for identifying structurally
close objects of the type “country_year” based on a system of indicators characterizing
the state capacity 1996–2015. A comparison of clustering methods
(including hierarchical clustering) with methods of analyzing patterns based on
a pairwise comparison of indicators, ordinal-fixed and ordinal-invariant pattern
clustering, is proposed. The possibility of sharing the methods of clustering and
pattern analysis to obtain interpretable results from the point of view of political
science is demonstrated. Groups of countries with similar development paths by
reference years on the basis of a dynamic analysis of patterns are identified. The
dynamic change in state capacity (from the point of view of the selected indicator
system) of 166 countries of the world is determined.

Keywords: clustering, pattern analysis, ordinal-invariant pattern clustering

Publication based on the results of: Decision making and data analysis in socio-economic and political systems (2020)

In book

Intelligent Methods in Computing, Communications and Control

Vol. 1243. , Springer, 2021.