Cluster Approach For Territorial Development Management


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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