Abstract:

The scope of this paper is to apply the method of hierarchical cluster analysis to demographic data and discuss the problems of such an approach. Several demographic variables for population change, population structure, fertility and mortality were used to cluster European populations and identify homogenous spatial areas or resemblances among them. Subsequently, these variables were examined to account for the problem of multicollinearity, which affects the cluster analysis results. Several methods were used to solve this problem. Results indicate the validity of cluster analysis for such purposes and its enhanced interpretational power.

中文翻译：

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欧洲国家人口制度的国家层次聚类：方法论评估

摘要：

本文的范围是将层次聚类分析方法应用于人口统计数据，并讨论这种方法的问题。人口变化，人口结构，生育力和死亡率的几个人口统计学变量被用来对欧洲人口进行聚类，并确定其中的同质空间区域或相似之处。随后，检查了这些变量以解决多重共线性问题，该问题会影响聚类分析结果。使用了几种方法来解决此问题。结果表明，聚类分析对于此类目的的有效性及其增强的解释能力。