umap
From umap v0.2.2.0
by Tomasz Konopka
Computes a manifold approximation and projection
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)
# }
Community examples
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