The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction R package uwot version 0.2.4 An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/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) <doi:10.48550/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. Software Depends: Matrix Imports: FNN, irlba, methods, Rcpp, RcppAnnoy (>= 0.0.17), RSpectra LinkingTo: dqrng, Rcpp, RcppAnnoy, RcppProgress Suggests: bigstatsr, covr, knitr, RcppHNSW, rmarkdown, rnndescent, testthat James Melville <jlmelville@gmail.com> Comprehensive R Archive Network (CRAN) James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb], Wouter van der Bijl [ctb], Hugo Gruson [ctb] GPL (>= 3) 2025-11-10 application/tgz https://CRAN.R-project.org/package=uwot doi:10.32614/CRAN.package.uwot