Alpha shapes and optimal transport on the sphere

Fuente: arXiv
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Auteurs principaux: Carlsson, Erik, DePaul, Greg
Format: Preprint
Publié: 2024
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author Carlsson, Erik
DePaul, Greg
author_facet Carlsson, Erik
DePaul, Greg
contents In [3], the authors used the Legendre transform to give a tractable method for studying Topological Data Analysis (TDA) in terms of sums of Gaussian kernels. In this paper, we prove a variant for sums of cosine similarity-based kernel functions, which requires considering the more general "$c$-transform" from optimal transport theory [16]. We then apply these methods to a point cloud arising from a recent breakthrough study, which exhibits a toroidal structure in the brain activity of rats [11]. A key part of this application is that the transport map and transformed density function arising from the theorem replace certain delicate preprocessing steps related to density-based denoising and subsampling.
format Preprint
id arxiv_https___arxiv_org_abs_2412_04286
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Alpha shapes and optimal transport on the sphere
Carlsson, Erik
DePaul, Greg
Statistics Theory
Algebraic Topology
55N31, 62R40, 62G07, 49Q22
In [3], the authors used the Legendre transform to give a tractable method for studying Topological Data Analysis (TDA) in terms of sums of Gaussian kernels. In this paper, we prove a variant for sums of cosine similarity-based kernel functions, which requires considering the more general "$c$-transform" from optimal transport theory [16]. We then apply these methods to a point cloud arising from a recent breakthrough study, which exhibits a toroidal structure in the brain activity of rats [11]. A key part of this application is that the transport map and transformed density function arising from the theorem replace certain delicate preprocessing steps related to density-based denoising and subsampling.
title Alpha shapes and optimal transport on the sphere
topic Statistics Theory
Algebraic Topology
55N31, 62R40, 62G07, 49Q22
url https://arxiv.org/abs/2412.04286