umap

From umap v0.2.2.0 by Tomasz Konopka

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

# NOT RUN {
# embedd iris dataset using default settings
iris.umap = umap(iris[,1:4])

# display object summary
iris.umap

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

# }

Documentation reproduced from package umap, version 0.2.2.0, License: MIT + file LICENSE

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