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A model for spatial multicriteria hierarchical clustering

机译:空间多准则层次聚类模型

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Research on the problem of multicriteria territory partitioning is at its begin. This is mainly due to the fact that it involves tools from fields that are to this day still young. To answer this shortage, we propose an adaptation of a multicriteria clustering method that takes spatial constraints into account. Two variants are described and tested on an illustrative case. This example deals with the partitioning of the Walloon region in Belgium into clusters with a similar level of well-being as perceived by its inhabitants.
机译:对多准则地域划分问题的研究才刚刚开始。这主要是由于它涉及到至今仍很年轻的领域的工具。为了解决这一不足,我们提出了一种多准则聚类方法的改编,该方法考虑了空间约束。在一个说明性的案例中描述并测试了两个变体。本示例涉及比利时瓦隆地区的划分,其居民所感受到的福祉水平相近。

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