Software Solution for clustering local state finance data

The work is devoted to the information system for clustering local finance data. The substantive formulation of the problem has been defined, incoming, outgoing data, solution methods have been described. The main goal of the work is to improve the distribution of local budgets to different groups by clustering local finance data. In Data Mining, it is easier to identify groups of similar objects, in our case these are similar local budgets, study their features and carry out analysis for each group separately, rather than creating one common model for all data.