umap

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 <arXiv:1802.03426>. 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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Description file content

Package
umap
Title
Uniform Manifold Approximation and Projection
Version
0.2.2.0
Author
Tomasz Konopka [aut, cre]
Maintainer
Tomasz Konopka
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).
Depends
R (>= 3.1.2)
Imports
methods, reticulate, Rcpp (>= 0.12.6), RSpectra, stats
License
MIT + file LICENSE
URL
LinkingTo
Rcpp
LazyData
true
Suggests
knitr, rmarkdown, testthat
VignetteBuilder
knitr
RoxygenNote
6.1.1
NeedsCompilation
yes
Packaged
2019-05-13 05:38:11 UTC; tkonopka
Repository
CRAN
Date/Publication
2019-05-13 06:20:03 UTC

install.packages('umap')

0.2.2.0

11 days ago

https://github.com/tkonopka/umap

Tomasz Konopka

MIT + file LICENSE

Depends on

R (>= 3.1.2)

Imports

methods, reticulate, Rcpp (>= 0.12.6), RSpectra, stats

Suggests

knitr, rmarkdown, testthat

Discussions