Package: uwot 0.2.2.9000

uwot: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction

An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/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) <doi:10.48550/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.

Authors:James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb]

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uwot/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jlmelville/uwot/issues

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

On CRAN:

dimensionality-reductionumap

15.79 score 321 stars 134 packages 2.1k scripts 43k downloads 17 mentions 12 exports 12 dependencies

Last updated 3 months agofrom:fd5f337bbd. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:load_uwotlvishoptimize_graph_layoutsave_uwotsimilarity_graphsimplicial_set_intersectsimplicial_set_uniontumapumapumap_transformumap2unload_uwot

Dependencies:BHdqrngFNNirlbalatticeMatrixRcppRcppAnnoyRcppEigenRcppProgressRSpectrasitmo

uwot

Rendered fromuwot.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2024-04-20
Started: 2023-11-27