naive.optimize.embedding

<p>matrix, transpose of matrix with an initial embedding</p>

tembedding

config

<p>matrix with connectivity coo graph and epochs per sample;
this must be a matrix with columns "from", "to", "value", and "eps"</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).

naive.optimize.embedding: modify an existing embedding

Description

Usage

Arguments

Value