Information and communication technologies (ICT) evolvement is a mainstream of modern society progress. From one hand, ICT provide great demand on innovations, and from the other hand, new technologies foster futher information and communication development. These two processes along with interaction between them seem to be a matter of great importance for effective improving of economic and social life. The level of ICT development is substantially different not only in different countries, but also in different regions of such a big country as Russian Federation. A lot of indicators are published and widely used for measuring the ICT and innovation development. But sets of indicators for countries and countries' regions generally are different and need to become closer. Effective management implicates adequate impact on each particular part of the regional system. In this paper we introduce models providing relevant regions classification on both innovation activity and ICT development and report on our experience in analysis of their interplay. When it is well grounded we use parametric approach to creating models of regional stratification, and kernel density estimates allow proving the premises for it. In multidimensional case, the fuzzy clusterisation shows the best results and provide creating profiles of the groups and their kernels. Created models allow revealing peculiarities of the groups that provides using relevant means for fostering the technological progress in regions and in a country as a whole.