Uniform Manifold Approximation and Projection

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).


Reference manual

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install.packages("umap") by Tomasz Konopka, a month ago


Browse source code at https://github.com/cran/umap

Authors: Tomasz Konopka [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports methods, openssl, reticulate, Rcpp, RSpectra, stats

Suggests knitr, rmarkdown, testthat

Linking to Rcpp

Imported by FateID, Spectrum, iCellR.

Suggested by EmbedSOM, OTclust, dimRed.

See at CRAN