manifoldSample: Manifold sampling: Gaussian KDE projected on truncated...

In rudazhang/plmr: Probabilistic Learning on Manifolds in R

Description

Manifold sampling: Gaussian KDE projected on truncated diffusion maps basis.

Usage

manifoldSample(H0, g, m, mult = 0L, avgScatter = 0.1, seed = 42L)

Arguments

H0	The normalized sample matrix, n-by-m.
g	Diffusion map basis
m	Truncation order
mult	Multiple in sample size of the new sample; if 0, project the original sample.
avgScatter	Average relative scattering distance from the original sample.
seed	Seed for random number generation.

Value

A list: kde, KDE sample matrix, n-by-m x mult; kdem, manifold-reduced sample matrix, n-by-m x mult.

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