Algorithms of data clustering in assessing the transport infrastructure of the region

Abstract

The article presents the results of a complex analytical research of the region transport infrastructure. The authors propose the developed methodology for assessing the transport infrastructure in the region. The evaluation algorithm is based on consideration of individual municipal entities and their clustering by the Self-organizing maps. An example of approbation of the developed methodology in the Arkhangelsk region is given. As a result, we obtained a map showing clusters that unite municipal entities in homogeneous groups. Based on the results, a list of recommendations for the territorial development of each cluster was developed.