
arXiv: 2107.08089
We introduce an estimator for distances in a compact Riemannian manifold based on graph Laplacian estimates of the Laplace-Beltrami operator. We upper bound the error in the estimate of manifold distances, or more precisely an estimate of a spectrally truncated variant of manifold distance of interest in non-commutative geometry (cf. [Connes and Suijelekom, 2020]), in terms of spectral errors in the graph Laplacian estimates and, implicitly, several geometric properties of the manifold. A consequence is a proof of consistency for (untruncated) manifold distances. The estimator resembles, and in fact its convergence properties are derived from, a special case of the Kontorovic dual reformulation of Wasserstein distance known as Connes' Distance Formula.
FOS: Computer and information sciences, consistency, Connes' distance formula, Mathematics - Statistics Theory, Machine Learning (stat.ML), Statistics Theory (math.ST), Laplace-Beltrami operator, Statistics - Machine Learning, manifold learning, graph Laplacian, FOS: Mathematics, Wasserstein distance, Nonparametric estimation, Statistics on manifolds
FOS: Computer and information sciences, consistency, Connes' distance formula, Mathematics - Statistics Theory, Machine Learning (stat.ML), Statistics Theory (math.ST), Laplace-Beltrami operator, Statistics - Machine Learning, manifold learning, graph Laplacian, FOS: Mathematics, Wasserstein distance, Nonparametric estimation, Statistics on manifolds
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
