Cluster models of households’ agrarian production development

The article is dedicated to economic substantiation of agricultural development with the use of artificial neural networks. The major goal of this research is to present new models for a regional clusterisation by means of an analysis of the general and specific natural and relative indicators of crop and animal production in Ukraine. The NXL Clusterizer Toolbox of MS Excel has been applied to conduct the calculations. The adequacy of the proposed approach has been illustrated by example of 3 clusters created for the households of Ukraine by regions using 8 main agricultural indicators as for 01.01.2015. The received profiles have defined clusters in order to support the foremost achievements, improve positive results and overcome negative tendencies of the agricultural production in the national households.