DEVELOPMENT OF AN ALGORITHM FOR CLASSIFYING OF REGIONAL SOCIO-ECONOMIC SYSTEMS TO THE LEVEL OF INNOVATION POTENTIAL MANAGEMENT

Abstract

The relevance of the topic. The relevance of the study is due to the need to form a model of the economic success of the development of regions, their competitiveness is determined by the speed of managerial reactions to changes and challenges in the external environment. The study and assessment of the current level of socio-economic development of regions, the development of relevant tools for assessing the dynamics of the effectiveness of economic policy pursued by regional executive authorities is the topic of this study. Goal. The purpose of the study is to apply the modern method of agglomerative hierarchical clustering to classify socio-economic systems according to the level of management of the innovative potential of regions within the framework of long-term goals of building a competitive economy, which is an important factor in achieving the technological sovereignty of the country and improving the standard of living of the population. Methodology. A method of using one-dimensional clustering based on the Fisher algorithm, agglomerative hierarchical clustering, k-means clustering, and fuzzy clustering as relevant statistical methods for ranking regions by the level of innovation potential management is proposed. Results and conclusions. For the formation and classification of socio-economic systems of regions, the application of an 8-stage process for choosing an effective data clustering algorithm is proposed and the main stages of its use are considered. The identification of socio-economic mesosystems of the Russian Federation was carried out using the author's classification methodology according to the level of innovation potential management. In the matrix of balanced scientific and technological development, the influence of innovation management methods using the cluster analysis method for ranking and grouping clusters of socio-economic mesosystems is studied, which will further enable the development of management decisions in the context of managing the innovative potential of regions, developing state strategic policy in order to increase the competitiveness of regions, achieve technological sovereignty and improve the quality of life of the population. The scope of application. To assess the quality of the results of clustering of mesosystems of the Russian Federation according to the level of innovation potential management in the matrix of balanced scientific and technical development using metrics, a silhouette coefficient based on the author's methodology.