Towards Computing Average Merge Tree Based on the Interleaving Distance

Fuente: arXiv
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Bibliographic Details
Main Authors: Touli, Elena Farahbakhsh, Hotz, Ingrid, Masood, Talha Bin
Format: Preprint
Published: 2026
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author Touli, Elena Farahbakhsh
Hotz, Ingrid
Masood, Talha Bin
author_facet Touli, Elena Farahbakhsh
Hotz, Ingrid
Masood, Talha Bin
contents The interleaving distance is a key tool for comparing merge trees, which provide topological summaries of scalar functions. In this work, we define an average merge tree for a pair of merge trees using the interleaving distance. Since such an average is not unique, we propose a method to construct a representative average merge tree. We further prove that the resulting merge tree indeed satisfies a natural notion of averaging for the two given merge trees. To demonstrate the structure of the average merge tree, we include illustrative examples.
format Preprint
id arxiv_https___arxiv_org_abs_2603_00783
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Towards Computing Average Merge Tree Based on the Interleaving Distance
Touli, Elena Farahbakhsh
Hotz, Ingrid
Masood, Talha Bin
Computational Geometry
The interleaving distance is a key tool for comparing merge trees, which provide topological summaries of scalar functions. In this work, we define an average merge tree for a pair of merge trees using the interleaving distance. Since such an average is not unique, we propose a method to construct a representative average merge tree. We further prove that the resulting merge tree indeed satisfies a natural notion of averaging for the two given merge trees. To demonstrate the structure of the average merge tree, we include illustrative examples.
title Towards Computing Average Merge Tree Based on the Interleaving Distance
topic Computational Geometry
url https://arxiv.org/abs/2603.00783