make.initial.spectator.embedding

matrix with an existing (primary) embedding

embedding

matrix with indexes from spectators to components primary embedding

knn.indexes

Create an initial embedding for a set of spectators

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.spectator.embedding: Create an initial embedding for a set of spectators

Description

Usage

Arguments

Value