Package: umap 0.2.11.0

umap: Uniform Manifold Approximation and Projection

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).

Authors:Tomasz Konopka [aut, cre]

umap_0.2.11.0.tar.gz
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umap_0.2.11.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
umap/json (API)

# Install 'umap' in R:
install.packages('umap', repos = c('https://tkonopka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tkonopka/umap/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

dimensionality-reductionumapcpp

13.31 score 136 stars 56 packages 5.6k scripts 16k downloads 24 mentions 3 exports 17 dependencies

Last updated from:9106cac8de. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK182
linux-devel-x86_64OK209
source / vignettesOK197
linux-release-arm64OK164
linux-release-x86_64OK171
macos-release-arm64OK174
macos-release-x86_64OK231
macos-oldrel-arm64OK221
macos-oldrel-x86_64OK389
windows-develOK180
windows-releaseOK420
windows-oldrelOK180
wasm-releaseOK117

Exports:umapumap.defaultsumap.knn

Dependencies:askpassherejsonlitelatticeMatrixopensslpngrappdirsRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectrasyswithr

Interfacing with 'umap-learn'

Rendered fromumap_learn.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2023-01-27
Started: 2018-07-16

Uniform Manifold Approximation and Projection in R

Rendered fromumap.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2023-02-01
Started: 2018-05-05