区域统计中的聚类分析

Mariana-Elena Voineagu Balu, F. Furtuna
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引用次数: 1

摘要

集群的概念与经济组织的空间密度有关,表明一些专门的产业活动具有高度的地理集中度。集群中的经济组织之间发展了相互依存的关系,从而提高了劳动生产率,增强了它们在市场上的竞争力及其经营所在地区的竞争力。统计聚类分析采用层次树法的最小离散度方法,以获得中小组织和一些衰落地区或行业的再生所必需的信息。地域概况经济分析可以采用聚类分析方法,根据业绩进行分层分类,制定策略。层次树方法包括确定用于考虑单元的某些层次结构。集群按其组织模式可分为:垂直一体化集群、水平一体化集群和新兴集群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clusters Analyses in Regional Statistics
The concept of cluster is related to the spatial density of the economic organizations suggesting that there are some specialized industrial activities with a high degree of geographic concentration. Interdependent relations are developed among economic organizations included in the cluster, that lead to an increased labour productivity, enhancing their competitiveness on the market and the competitiveness of the area where they operate. The statistical cluster analysis uses the method of minimum dispersion of hierarchical tree method, in order to obtain the information necessary to small and medium organizations and the regeneration of some declining areas or industries. Territorial profile economic analyses can use the cluster analysis in order to make hierarchical classifications, according to performance, strategies. The hierarchical tree methods consist in identifying certain hierarchies used to take into consideration the units. According to their organization mode, clusters can be: vertically integrated, horizontally integrated, emerging clusters.
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