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umap (version 0.2.8.0)

Uniform Manifold Approximation and Projection

Description

Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in . 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).

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install.packages('umap')

Monthly Downloads

8,933

Version

0.2.8.0

License

MIT + file LICENSE

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Maintainer

Tomasz Konopka

Last Published

March 23rd, 2022

Functions in umap (0.2.8.0)

umap

Computes a manifold approximation and projection
predict.umap

project data points onto an existing umap embedding
umap.knn

construct a umap.knn object describing nearest neighbors
umap.defaults

Default configuration for umap