spectral.eigenvectors

<p>This implementation uses package RSpectra to compute eigenvectors.
Use of RSpectra as provider for sparse-matrix eigenvectors
credited to https://github.com/jlmelville/uwot</p>

internal

Uniform manifold approximation and projection is a technique
for dimension reduction. The algorithm was described by McInnes and
Healy (2018) in <arXiv:1802.03426>. This package provides an interface
for two implementations. One is written from scratch, including components
for nearest-neighbor search and for embedding. The second implementation
is a wrapper for 'python' package 'umap-learn' (requires separate
installation, see vignette for more details).

Tomasz Konopka

spectral.eigenvectors: get a set of k eigenvectors for the laplacian of x

Description

Usage

Arguments

Value