make.initial.embedding

config

<p>coo object with graph connectivity</p>

<p>This either takes a set embedding from config, or sets a random state</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).

make.initial.embedding: Create an initial embedding for a graph

Description

Usage

Arguments

Value