Coordinatizing Data With Lens Spaces and Persistent Cohomology
Algebraic Topology
2019-06-27 v2 Computational Geometry
Abstract
We introduce here a framework to construct coordinates in \emph{finite} Lens spaces for data with nontrivial 1-dimensional persistent cohomology, . Said coordinates are defined on an open neighborhood of the data, yet constructed with only a small subset of landmarks. We also introduce a dimensionality reduction scheme in (Lens-PCA: ), and demonstrate the efficacy of the pipeline class coordinates , for nonlinear (topological) dimensionality reduction.
Cite
@article{arxiv.1905.00350,
title = {Coordinatizing Data With Lens Spaces and Persistent Cohomology},
author = {Luis Polanco and Jose A. Perea},
journal= {arXiv preprint arXiv:1905.00350},
year = {2019}
}