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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.

Versions across snapshots

VersionRepositoryFileSize
0.2.4 rolling linux/jammy R-4.5 uwot_0.2.4.tar.gz 993.7 KiB
0.2.4 rolling linux/noble R-4.5 uwot_0.2.4.tar.gz 1003.8 KiB
0.2.4 rolling source/ R- uwot_0.2.4.tar.gz 595.6 KiB
0.2.4 latest linux/jammy R-4.5 uwot_0.2.4.tar.gz 993.7 KiB
0.2.4 latest linux/noble R-4.5 uwot_0.2.4.tar.gz 1003.8 KiB
0.2.4 latest source/ R- uwot_0.2.4.tar.gz 595.6 KiB
0.2.4 2026-04-26 source/ R- uwot_0.2.4.tar.gz 595.6 KiB
0.2.4 2026-04-23 source/ R- uwot_0.2.4.tar.gz 595.6 KiB
0.2.4 2026-04-09 windows/windows R-4.5 uwot_0.2.4.zip 1.2 MiB
0.2.3 2025-04-20 source/ R- uwot_0.2.3.tar.gz 595.2 KiB

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