naive.simplicial.set.embedding

matrix, coordinates for an initial graph embedding

embedding

config

integer, number of points to avoid moving in optimization

fix.observations

create an embedding of graph into a low-dimensional space

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).

naive.simplicial.set.embedding: create an embedding of graph into a low-dimensional space

Description

Usage

Arguments

Value