Clustering applications in financial and economic analysis of the crop production in the Russian regions


postgraduate student
Russia, Kuban state university


We used the complex mathematical modeling, multivariate statistical-analysis, fuzzy sets to analyze the financial and economic state of the crop production in Russian regions. We developed a system of indicators, detecting the state agricultural sector in the region, based on the results of correlation, factor, cluster analysis and statistics of the Federal State Statistics Service. We performed clustering analyses to divide regions of Russia on selected factors into five groups. A qualitative and quantitative characteristics of each cluster was received.


modeling, clustering, fuzzy sets, agriculture, the regions of the Russian Federation, the financial and economic situation.

Print Friendly, PDF & Email

Read also

Suggested citation

Gromov Vladislav Vladimirovich
Clustering applications in financial and economic analysis of the crop production in the Russian regions// Modern Management Technology. ISSN 2226-9339. – #8 (32). Art. # 3202. Date issued: . Available at:

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.


  1. Leonenkov A.V. Fuzzy modeling in MATLAB and fuzzyTECH [Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH]. – St. Petersburg.: BHV-Petersburg, 2007. 736 p.
  2. Minakov I. A. Economy agricultural industries: textbook [Ekonomika otraslei APK]. M.: Colossus. 2008. 256 p.
  3. Ognev Iu.Iu. The agrarian question. The main proposals [Agrarnyi vopros. Osnovnye predlozheniia]. M.: Press, 2010. 56 p.
  4. Khalafian A.A. STATISTICA 6. Statistical analysis [STATISTICA 6. Statisticheskii analiz dannykh]. 3rd ed. textbook. M.: Bean-Press, 2007. 512 p.
  5. The central statistical database [Tcentralnaia baza statisticheskikh dannykh]. Federal State Statistics Service URL: http// (date accessed: 01.04.2013).