Prospective directions of state support of the national innovation system of Russia

The article presents an original methodology for selecting the most popular measures of state support national innovation system a country with usage numerical methods clustering. clustering is based on combination indexes: Global Innovation Index, Gross Natural Income and Human Development Index. In lists countries their corresponding clusters obtained as result empirical analysis, demanded were identified base retrospective dynamics Index indicators characterizing system. For recommendations given direction development Russia. Classical used analysis instruments: Density-based spatial applications noise K-Means, Silhouette Coefficient implemented in sklearn library Python programming language was quality metric.