Cluster Approach For Territorial Development Management

Abstract

The paper is dedicated to the application of cluster approach to manage territory development using artificial intelligence for making rational managerial decisions. The aim set in the paper consists in the necessity to form different approaches to manage regions depending on the region social-economic indexes. 14 parameters were chosen for this, based on which the regions were clustered into 3 groups. For regions from different clusters different approaches for managing them can be applied to reveal weak indexes of the region and make the decision on changing their development strategy and improving their social-economic conditions. To reach the foregoing aim the authors applied the clusterization algorithm: self-organizing maps using analytical platform “Deductor”. The research results are significant and important for the economy as a whole. The Deductor analytical platform has provided complete solutions related to the processing and analysis of structured data. The field of application of the research results is associated with the subsequent formation of proposals and recommendations for the development of organizational, legal, methodological, economic and other measures to manage the development of territories.

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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Publisher

European Publisher

First Online

25.09.2021

Doi

10.15405/epsbs.2021.09.02.231

Online ISSN

2357-1330