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We present an extension of the Gromov-Hausdorff metric on the set of compact metric spaces: the Gromov-Hausdorff-Prokhorov metric on the set of compact metric spaces endowed with a finite measure. We then extend it to the non-compact case…

Metric Geometry · Mathematics 2013-01-28 Romain Abraham , Jean-Francois Delmas , Patrick Hoscheit

We study properties of metric segments in the class of all metric spaces considered up to an isometry, endowed with Gromov--Hausdorff distance. On the isometry classes of all compact metric spaces, the Gromov-Hausdorff distance is a metric.…

General Topology · Mathematics 2020-09-29 Olga Borisova

A labeled metric space is intuitively speaking a metric space together with a special set of points to be understood as the geometric boundary of the space. We study basic properties of a recently introduced labeled Gromov-Hausdorff…

Metric Geometry · Mathematics 2022-10-04 Reijo Jaakkola , Antti Kykkänen

In many real-world applications data come as discrete metric spaces sampled around 1-dimensional filamentary structures that can be seen as metric graphs. In this paper we address the metric reconstruction problem of such filamentary…

Computational Geometry · Computer Science 2013-05-07 Frédéric Chazal , Jian Sun

This paper studies $l^p$-products of metric spaces and provides estimates for the Gromov-Hausdorff distances between them. The case of linear products is considered separately, and sufficient conditions for attainability of the estimates…

Metric Geometry · Mathematics 2026-03-03 Emin Abdullaev

Optimal transport provides a metric which quantifies the dissimilarity between probability measures. For measures supported in discrete metric spaces, finding the optimal transport distance has cubic time complexity in the size of the…

Machine Learning · Computer Science 2024-01-30 Samantha Chen , Puoya Tabaghi , Yusu Wang

The Gromov-Hausdorff distance $(d_{GH})$ proves to be a useful distance measure between shapes. In order to approximate $d_{GH}$ for compact subsets $X,Y\subset\mathbb{R}^d$, we look into its relationship with $d_{H,iso}$, the infimum…

Metric Geometry · Mathematics 2024-05-28 Sushovan Majhi , Jeffrey Vitter , Carola Wenk

We define a distance analogous to the Gromov-Hausdorff distance that enables the comparison of arbitrary quasi-isometric spaces. We also investigate properties preserved under limits with respect to this distance, as well as properties of…

Metric Geometry · Mathematics 2026-05-28 Alexei Naianzin

The Hausdorff distance measures how far apart two sets are in a common metric space. By contrast, the Gromov-Hausdorff distance provides a notion of distance between two abstract metric spaces. How do these distances behave for quotients of…

Let $G$ be a finite, connected metric graph and let $X\subseteq G$ be a subset. If $X$ is sufficiently dense in $G$, we show that the Gromov--Hausdorff distance matches the Hausdorff distance, namely $d_\gh(G,X)=d_\h(G,X)$. When the metric…

Metric Geometry · Mathematics 2025-12-24 Henry Adams , Sushovan Majhi , Fedor Manin , Žiga Virk , Nicolò Zava

For each given $p\in[1,\infty]$ we investigate certain sub-family $\mathcal{M}_p$ of the collection of all compact metric spaces $\mathcal{M}$ which are characterized by the satisfaction of a strengthened form of the triangle inequality…

Metric Geometry · Mathematics 2021-11-24 Facundo Mémoli , Zhengchao Wan

This paper addresses the basic question of how well can a tree approximate distances of a metric space or a graph. Given a graph, the problem of constructing a spanning tree in a graph which strongly preserves distances in the graph is a…

Discrete Mathematics · Computer Science 2016-08-31 Ittai Abraham , Yair Bartal , Ofer Neiman

Given a finite metric, one can construct its tight span, a geometric object representing the metric. The dimension of a tight span encodes, among other things, the size of the space of explanatory trees for that metric; for instance, if the…

Combinatorics · Mathematics 2007-05-23 Mike Develin

It is shown that for any two compact metric spaces there exists an "optimal" correspondence which the Gromov-Hausdorff distance is attained at. Each such correspondence generates isometric embeddings of these spaces into a compact metric…

Metric Geometry · Mathematics 2016-03-30 Alexander Ivanov , Stavros Iliadis , Alexey Tuzhilin

In this paper we define a novel edit distance for merge trees, which we argue to be suitable for a good range of applications. Relying also on some technical results contained in other works, we investigate its stability properties, which…

Metric Geometry · Mathematics 2024-11-22 Matteo Pegoraro

Techniques from metric geometry have become fundamental tools in modern mathematical data science, providing principled methods for comparing datasets modeled as finite metric spaces. Two of the central tools in this area are the…

Algebraic Topology · Mathematics 2025-12-10 Yaoying Fu , Evgeniya Lagoda , Shiying Li , Tom Needham , Lander Ver Hoef , Morgan Weiler

For a vertex $v$ of a graph $G$, a spanning tree $T$ of $G$ is distance-preserving from $v$ if, for any vertex $w$, the distance from $v$ to $w$ on $T$ is the same as the distance from $v$ to $w$ on $G$. If two vertices $u$ and $v$ are…

Discrete Mathematics · Computer Science 2014-07-25 Toru Araki , Shingo Osawa , Takashi Shimizu

In this paper we introduce a notion of the Gromov-Hausdorff distance with boundary, denoted by $d_{GHB}$, to construct a framework of convergence of noncomplete metric spaces. We show that a class of bounded $A$-uniform spaces with diameter…

Metric Geometry · Mathematics 2021-08-10 Hyogo Shibahara

We present theoretical properties of the space of metric pairs equipped with the Gromov--Hausdorff distance. First, we establish the classical metric separability and the geometric geodesicity of this space. Second, we prove an…

Metric Geometry · Mathematics 2026-02-06 Andrés Ahumada Gómez , Mauricio Che , Manuel Cuerno

For each arbitrary finite group $G$, we consider a suitable notion of Gromov Hausdorff distance between compact $G$ metric spaces and derive lower bounds based on equivariant topology methods. As applications, we prove equivariant rigidity…

Metric Geometry · Mathematics 2026-01-29 Sunhyuk Lim , Facundo Memoli