Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).
| Version: | 0.1.0.3 |
| Depends: | R (≥ 3.1.2) |
| Imports: | reticulate, Rcpp (≥ 0.12.6), stats |
| LinkingTo: | Rcpp |
| Suggests: | knitr, testthat |
| Published: | 2018-06-24 |
| Author: | Tomasz Konopka [aut, cre] |
| Maintainer: | Tomasz Konopka <tokonopka at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| CRAN checks: | umap results |
| Reference manual: | umap.pdf |
| Vignettes: |
UMAP |
| Package source: | umap_0.1.0.3.tar.gz |
| Windows binaries: | r-devel: umap_0.1.0.3.zip, r-release: umap_0.1.0.3.zip, r-oldrel: umap_0.1.0.3.zip |
| OS X binaries: | r-release: umap_0.1.0.3.tgz, r-oldrel: umap_0.1.0.3.tgz |
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