Classification of regions of the Central federal district on the basis of innovative development parameters using cluster analysis

Abstract

In the context of the emergence of interdisciplinary tasks, it becomes necessary to make atypical decisions. Therefore, the innovation process comes to the fore, which, due to its high flexibility and adaptability, allows minimizing negative consequences. The article explores the significance of the innovation process and, on the basis of a hierarchical cluster analysis, establishes cause-and-effect relationships for classifying the regions of the Central Federal District as primary clusters. The proposed approach can subsequently become a useful tool in the development and formation of a set of measures aimed at regulating the socio-economic situation of the federal districts and their regions.