On the Local Ultrametricity of Finite Metric Data
Patrick Erik Bradley

TL;DR
This paper introduces new local ultrametricity measures for finite metric data, leveraging p-adic Mumford curves and Radon measures, with experimental validation on the iris dataset.
Contribution
It proposes a novel approach to measure local ultrametricity using p-adic geometry and applies it to real data, expanding the tools for analyzing metric datasets.
Findings
New ultrametricity measures based on p-adic Mumford curves
Experimental validation on iris dataset
Potential for improved data analysis techniques
Abstract
New local ultrametricity measures for finite metric data are proposed through the viewpoint that their Vietoris-Rips corners are samples from p-adic Mumford curves endowed with a Radon measure coming from a regular differential 1-form. This is experimentally applied to the iris dataset.
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Taxonomy
Topicsadvanced mathematical theories · Topological and Geometric Data Analysis · Advanced Mathematical Modeling in Engineering
