Coordinatizing Data With Lens Spaces and Persistent Cohomology
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Abstract (arXiv)
We introduce here a framework to construct coordinates in finite Lens spaces for data with nontrivial 1-dimensional mathbbZq persistent cohomology, q≥ 3. 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 S2n-1/mathbbZq (Lens-PCA: mathsfLPCA), and demonstrate the efficacy of the pipeline PH1(;·; ; mathbbZq) class Rightarrow S2n-1/mathbbZq coordinates Rightarrow mathsfLPCA, for nonlinear (topological) dimensionality reduction.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2019.
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2 papers.