manifoldLearn: Manifold learning via diffusion map

In rudazhang/plmr: Probabilistic Learning on Manifolds in R

Description

Manifold learning via diffusion map

Usage

manifoldLearn(H0, mult = 3, kappa = 1, delta = 0.001)

Arguments

H0	The normalized sample matrix, m-by-n.
mult	Multiples of the mean square distance within the set, determines the scale parameter.
kappa	Analysis scale, as "relative time" for the diffusion to reach the whole set.
delta	Convergence criterion

Value

A list: lambda, eigenvalues of the diffusion map; g, diffusion map basis; k, minimal truncation order satisfying the convergence criterion.

rudazhang/plmr documentation built on Aug. 30, 2021, 5:43 p.m.