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]

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umap.pdf |umap.html✨
umap/json (API)

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

Peer review:

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

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

On CRAN:

dimensionality-reductionumap

12.77 score 132 stars 42 packages 3.6k scripts 9.9k downloads 24 mentions 3 exports 17 dependencies

Last updated 7 months agofrom:9106cac8de. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64OKOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024
R-4.4-win-x86_64OKOct 26 2024
R-4.4-mac-x86_64OKOct 26 2024
R-4.4-mac-aarch64OKOct 26 2024
R-4.3-win-x86_64OKOct 26 2024
R-4.3-mac-x86_64OKOct 26 2024
R-4.3-mac-aarch64OKOct 26 2024

Exports:umapumap.defaultsumap.knn

Dependencies:askpassherejsonlitelatticeMatrixopensslpngrappdirsRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectrasyswithr

Interfacing with 'umap-learn'

Rendered fromumap_learn.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

Uniform Manifold Approximation and Projection in R

Rendered fromumap.Rmdusingknitr::rmarkdownon Oct 26 2024.

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