uwot: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction

An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <arXiv:1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.

Version: 0.1.3
Depends: Matrix
Imports: Rcpp, methods, FNN, RSpectra, RcppAnnoy (≥ 0.0.11), RcppParallel, irlba
LinkingTo: Rcpp, RcppProgress, RcppParallel, RcppAnnoy, dqrng
Suggests: testthat, covr
Published: 2019-04-07
Author: James Melville [aut, cre]
Maintainer: James Melville <jlmelville at gmail.com>
BugReports: https://github.com/jlmelville/uwot/issues
License: GPL-3
URL: https://github.com/jlmelville/uwot
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
CRAN checks: uwot results


Reference manual: uwot.pdf
Package source: uwot_0.1.3.tar.gz
Windows binaries: r-devel: uwot_0.1.3.zip, r-release: uwot_0.1.3.zip, r-oldrel: uwot_0.1.3.zip
OS X binaries: r-release: uwot_0.1.3.tgz, r-oldrel: uwot_0.1.3.tgz
Old sources: uwot archive


Please use the canonical form https://CRAN.R-project.org/package=uwot to link to this page.