Geometry of Geometric Data Set I

Fuente: arXiv
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Auteur principal: Yokota, Shigeaki
Format: Preprint
Publié: 2026
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author Yokota, Shigeaki
author_facet Yokota, Shigeaki
contents Hanika, Schneider, and Stumme introduced geometric data set as a generalization of metric measure space for the computation of the observable diameter, and extended the observable distance between metric measure spaces to that between geometric data sets. In this paper, we begin by proving the non-separability of the observable distance between geometric data sets. We then extend the box distance between mm-spaces to that between geometric data sets and prove its completeness and non-separability.
format Preprint
id arxiv_https___arxiv_org_abs_2603_23316
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Geometry of Geometric Data Set I
Yokota, Shigeaki
Metric Geometry
53C23
Hanika, Schneider, and Stumme introduced geometric data set as a generalization of metric measure space for the computation of the observable diameter, and extended the observable distance between metric measure spaces to that between geometric data sets. In this paper, we begin by proving the non-separability of the observable distance between geometric data sets. We then extend the box distance between mm-spaces to that between geometric data sets and prove its completeness and non-separability.
title Geometry of Geometric Data Set I
topic Metric Geometry
53C23
url https://arxiv.org/abs/2603.23316