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: |
0.1.4 |
| Depends: |
Matrix |
| Imports: |
Rcpp, methods, FNN, RSpectra, RcppAnnoy (≥ 0.0.11), RcppParallel, irlba |
| LinkingTo: |
Rcpp, RcppProgress, RcppParallel, RcppAnnoy, dqrng |
| Suggests: |
testthat, covr |
| Published: |
2019-09-23 |
| 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 |