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Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <doi:10.48550/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: | 0.2.10.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | Matrix, methods, openssl, reticulate, Rcpp (≥ 0.12.6), RSpectra, stats |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2023-02-01 |
| DOI: | 10.32614/CRAN.package.umap |
| Author: | Tomasz Konopka [aut, cre] |
| Maintainer: | Tomasz Konopka <tokonopka at gmail.com> |
| BugReports: | https://github.com/tkonopka/umap/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tkonopka/umap |
| NeedsCompilation: | yes |
| CRAN checks: | umap results |
| Reference manual: | umap.pdf |
| Vignettes: |
Uniform Manifold Approximation and Projection in R Interfacing with 'umap-learn' |
| Package source: | umap_0.2.10.0.tar.gz |
| Windows binaries: | r-devel: umap_0.2.10.0.zip, r-release: umap_0.2.10.0.zip, r-oldrel: umap_0.2.10.0.zip |
| macOS binaries: | r-release (arm64): umap_0.2.10.0.tgz, r-oldrel (arm64): umap_0.2.10.0.tgz, r-release (x86_64): umap_0.2.10.0.tgz, r-oldrel (x86_64): umap_0.2.10.0.tgz |
| Old sources: | umap archive |
| Reverse depends: | KODAMA |
| Reverse imports: | animalcules, CelliD, chameleon, ChromSCape, COTAN, EmbedSOM, FateID, GEOexplorer, ggpca, HIPPO, HVT, ILoReg, InterCellar, jrSiCKLSNMF, karyotapR, M3C, MatrixQCvis, Mercator, musclesyneRgies, nevada, PhyloProfile, PIUMA, projectR, RaceID, RCSL, regioneReloaded, rrvgo, RSDA, SaturnCoefficient, scDataviz, scDesign3, sRACIPE, SuperCell, theftdlc, tomoda |
| Reverse suggests: | cola, crosshap, dimRed, HDCytoData, NGCHM, OlinkAnalyze, OTclust, pctax, Platypus, ProjectionBasedClustering, qeML, quollr, scPipe, seriation, SPIAT, UCSCXenaShiny |
Please use the canonical form https://CRAN.R-project.org/package=umap to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.