多元分类在俄罗斯人口收入地区分异评价中的应用
The application of multivariate classification in evaluating the regional differentiation by population income in Russia
摘要：
本文介绍了俄罗斯地区的多元分类的结果，由人口收入和集中度的指标表征。聚类是在作者的方法上进行的，以选择决定人口收入和相互关联特征的区域差异评估中的学术新颖性的特征。进行分析的目的是评估的实际规模的不均衡的空间发展的国家领土所考虑的特点。集群化的结果使人们能够确定一组高收入区域相对“强势”地位的条件（在可预见的将来，构成这一地位的区域组合的变化是极不可能的）。此外，俄罗斯一些地区的人口正在努力以相当低的收入生活。这些所谓的“贫困”地区在新型冠状病毒肺炎（COVID-19，即2019冠状病毒病）造成的危机条件下需要额外的公共支持，没有这些支持，这些地区的人口将陷入困境。
英文摘要：
The article presents the results of multivariate classification of Russian regions by the indicators characterizing the population income and their concentration. The clusterization was performed upon an author approach to selecting the characteristics which determines the academic novelty in the evaluation of regional differentiation by population income and the interconnected characteristics. The performed analysis was aimed at the evaluation of the real scale of disproportions in spatial development of the country territories by the considered characteristics. The clusterization results allowed to formulate the condition of a relatively "strong" position of a group of high-income regions (the changes in the array of regions constituting it is highly unlikely in the foreseeable future). Additionally there has been revealed a group of Russian regions that the population is struggling to live on quite low income. These so-called "poor" regions, within the crisis conditions caused by Covid-19 are in need of additional public support, without which their population will impoverish.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
