Методология типизации траекторий посткризисной динамики российских предприятий обрабатывающей промышленности

A hierarchical cluster analysis method has been used in order to find the most common trajectories of a post-crisis dynamics of Russian manufacturing industries. The two main clusters (called «rapid growth» and «stagnation») contain motion trajectories of about 90% of investigated industries. The article provides paths of future statistical study of industry clusters. A statistical algorithm, which determines typical representatives of several groups, is also given. The use of proposed statistical methods of data process can not only increase the effectiveness of state policies on overcoming economic crisis, but also find those aspects of the strategy, which increase sustainability of an industry to negative outer shocks