A Sparse Multicover Bifiltration of Linear Size
Abstract
The -cover of a point cloud in at radius is the set of all points within distance of at least points of . By varying and we obtain a two-parameter filtration known as the multicover bifiltration. This bifiltration has received attention recently due to being choice-free and robust to outliers. However, it is hard to compute: the smallest known equivalent simplicial bifiltration has simplices. We introduce a -approximation of the multicover bifiltration of linear size , for fixed and . The methods also apply to the subdivision Rips bifiltration on metric spaces of bounded doubling dimension, yielding analogous results.
Cite
@article{arxiv.2411.06986,
title = {A Sparse Multicover Bifiltration of Linear Size},
author = {Ángel Javier Alonso},
journal= {arXiv preprint arXiv:2411.06986},
year = {2025}
}
Comments
24 pages. Improvements on the exposition throughout. Substantially improved exposition of the proof of the sparse multicover nerve theorem, with the addition of also handling the case of the cones not being convex