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).


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install.packages("umap")

0.2.7.0 by Tomasz Konopka, a year ago


https://github.com/tkonopka/umap


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, Mercator, RCSL, RaceID, chameleon.

Suggested by OTclust, ProjectionBasedClustering, dimRed, seriation.


See at CRAN