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Main Authors: Koyama, Musashi Ayrton, Robins, Vanessa, Turner, Katharine
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2412.07805
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author Koyama, Musashi Ayrton
Robins, Vanessa
Turner, Katharine
author_facet Koyama, Musashi Ayrton
Robins, Vanessa
Turner, Katharine
contents The long computational time and large memory requirements for computing Vietoris Rips persistent homology from point clouds remains a significant deterrent to its application to big data. This paper aims to reduce the memory footprint of these computations. It presents a new construction, the distilled Vietoris Rips filtration, and proves that its persistent homology is isomorphic to that of standard Vietoris Rips. The distilled complex is constructed using a discrete Morse vector field defined on the reduced Vietoris Rips complex. The algorithm for building and reducing the distilled filtration boundary matrix is highly parallelisable and memory efficient. It can be implemented for point clouds in any metric space given the pairwise distance matrix.
format Preprint
id arxiv_https___arxiv_org_abs_2412_07805
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The distilled Vietoris Rips filtration for persistent homology and a new memory efficient algorithm
Koyama, Musashi Ayrton
Robins, Vanessa
Turner, Katharine
Algebraic Topology
The long computational time and large memory requirements for computing Vietoris Rips persistent homology from point clouds remains a significant deterrent to its application to big data. This paper aims to reduce the memory footprint of these computations. It presents a new construction, the distilled Vietoris Rips filtration, and proves that its persistent homology is isomorphic to that of standard Vietoris Rips. The distilled complex is constructed using a discrete Morse vector field defined on the reduced Vietoris Rips complex. The algorithm for building and reducing the distilled filtration boundary matrix is highly parallelisable and memory efficient. It can be implemented for point clouds in any metric space given the pairwise distance matrix.
title The distilled Vietoris Rips filtration for persistent homology and a new memory efficient algorithm
topic Algebraic Topology
url https://arxiv.org/abs/2412.07805