umap: Computes a manifold approximation and projection

In donelsonsmith/umap_R: Uniform Manifold Approximation and Projection

Description

Computes a manifold approximation and projection

Usage

umap(d, config = umap.defaults, method = c("naive", "umap-learn"), ...)

Arguments

d	matrix, input data
config	object of class umap.config
method	character, implementation. Available methods are 'naive' (an implementation written in pure R) and 'umap-learn' (requires python package 'umap-learn')
...	list of settings; overwrite default values from config

Value

object of class umap, containing at least a component with an embedding and a component with configuration settings

Examples

# embedd iris dataset using default settings
iris.umap = umap(iris[,1:4])

# display object summary
iris.umap

# display embedding coordinates
head(iris.umap$layout)

donelsonsmith/umap_R documentation built on Nov. 4, 2019, 10:58 a.m.