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.