波兰和欧盟国家的可持续发展水平——集群稳定措施分析

Dorota Rozmus
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引用次数: 3

摘要

在近年来的分类方法中,人们非常关注这些方法的稳定性,即回答给定方法发现的结构在多大程度上实际存在于数据中?文献中提出了许多不同的测量稳定性的方法,这些方法主要与最终分组结果的稳定性有关。Lord等人(2017)提出了对数据集中每个观察值的稳定性度量和对单个组的稳定性度量。在他们的文章中,他们认为单个的稳定性度量可能表明有噪声的观测,而与特定组相关的稳定性度量可能表明应该从数据集中删除的噪声簇。本文的目的是应用拟议的个人稳定措施和个人群体的稳定措施来回答波兰在可持续发展水平方面与欧盟相匹配的程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Level of Sustainable Development in Poland and EU Countries – Analysis with Cluster Stability Measures
In the context of taxonomy methods in recent years, a lot of attention is paid to the stability of these methods, i.e. the answer to the question to what extent the structure discovered by a given method is actually present in the data? Many different ways of measuring stability have been proposed in the literature, which are mainly relating to the stability of the final grouping result. Lord et al. (2017) instead proposed a measure of stability for each observation from the data set and the measure of stability for individual groups. In their article, they suggest that an individual measure of stability may indicate noisy observation whereas the stability measure relating to particular groups may indicate clusters of noise which should be removed from the dataset. The aim of the paper is to apply the proposed individual measure of stability and a measure of stability for individual groups to answer the question to what extent Poland is matched the EU in terms of the level of sustainable development.
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