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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("umap") by Tomasz Konopka, 5 months ago


Report a bug at https://github.com/tkonopka/umap/issues

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 EmbedSOM, FateID, RaceID.

Suggested by OTclust, ProjectionBasedClustering, dimRed.

See at CRAN