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.
| Version: | 0.2.4 |
| 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 |
| Published: | 2025-11-10 |
| DOI: | 10.32614/CRAN.package.uwot |
| Author: | 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] |
| Maintainer: | James Melville <jlmelville at gmail.com> |
| BugReports: | https://github.com/jlmelville/uwot/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jlmelville/uwot,https://jlmelville.github.io/uwot/ |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | uwot results |