Methods of Describing Region Economic Profile on the Basis of Cluster Analysis
https://doi.org/10.21686/2413-2829-2025-5-49-60
Abstract
The article deals with the acute objective of drawing-up economic profile of region within the frames of masterplanning of territory development with the help of methods of space-time data clasterization that characterize economic activities of business entities. The goal of the research is to analyze models of space-time clasterization used in descriptions of economic profile of territory in order to identify regularities and trends in economic data, as well as to work out recommendations on their effective use to optimize management and strategic planning on regional level. The author provided an example of integration of non-linear methods of reducing size and models of auto encoders, which help simplify data structure, improve visualization, preserve important characteristics and eliminate noise, which can provide more accurate and effective cluster reveal. The approach can be used in tasks where complicated structures are present and which require both non-linear size reduction and keeping local and global features. As a result recommendations were prepared dealing with extension of tools for describing region profile.
About the Author
A. N. Kislyakov
Vladimir branch of Russian Presidential Academy of National Economy and Public Administration
Россия
Россия
Aleksey N. Kislyakov, Doctor of Economics, PhD, Associate Professor, Professor of the Department of Information Technology
59a Gorky Str., Vladimir, Vladimir region, 600017
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Review
For citations:
Kislyakov A.N. Methods of Describing Region Economic Profile on the Basis of Cluster Analysis. Vestnik of the Plekhanov Russian University of Economics. 2025;(6):49-60. (In Russ.) https://doi.org/10.21686/2413-2829-2025-5-49-60
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