title: CLUSTER ANALYSIS OF INDICATORS CHARACTERIZING DECARBONIZATION PROCESSES IN THE REGIONS OF THE RUSSIAN FEDERATION
abstract: The article is devoted to the study of decarbonization processes in the Russian Federation based on cluster analysis using machine learning methods. The purpose of the study is to assess decarbonization processes in the subjects and federal districts of the Russian Federation. Materials and methods. The information basis of the study consists of statistical data from Rosstat for the period 2000-2021 for 82 subjects of the Russian Federation, federal districts, the cities of Moscow, St. Petersbur
journal: Oeconomia et Jus