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: 0.2.3 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: 2025-02-24 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] 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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