The DTM-signature for a geometric comparison of metric-measure spaces from samples
Claire Br\'echeteau

TL;DR
This paper introduces the DTM-signature, a new measure for comparing metric-measure spaces that provides a practical statistical test for assessing their similarity based on samples.
Contribution
It proposes the DTM-signature as a novel geometric measure and develops a statistical test for space equality, with theoretical justifications and an algorithm.
Findings
The DTM-signature defines a pseudo-metric bounded by Gromov-Wasserstein distance.
A statistical test for space equality is developed and justified.
An algorithm for implementing the test is proposed.
Abstract
In this paper, we introduce the notion of DTM-signature, a measure on R + that can be associated to any metric-measure space. This signature is based on the distance to a measure (DTM) introduced by Chazal, Cohen-Steiner and M\'erigot. It leads to a pseudo-metric between metric-measure spaces, upper-bounded by the Gromov-Wasserstein distance. Under some geometric assumptions, we derive lower bounds for this pseudo-metric. Given two N-samples, we also build an asymptotic statistical test based on the DTM-signature, to reject the hypothesis of equality of the two underlying metric-measure spaces, up to a measure-preserving isometry. We give strong theoretical justifications for this test and propose an algorithm for its implementation.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Point processes and geometric inequalities · Advanced Neuroimaging Techniques and Applications
