Study of regional agricultural production using multivariate analysis techniques

The article substantiates the application of cluster analysis method on empirical data. A system indicators agricultural production has been designed. multidimensional grouping by was carried out, regions were grouped into clusters according to level resource provision in industry, effectiveness and efficiency production, its technical, scientific potential support. characteristics each are given, main strengths weaknesses agriculture shown selected indicators. Practical recommendations have developed for cluster, which will allow using totality available resources, conditions factors increase sustainability addition increasing social environmental orientation. Cluster made it possible implement a systematic approach study equally take account various indicators, lay dynamic changes spatial study. drawback is limited data access information. Some aspects organization management briefly described.