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.
- Version0.2.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release04/21/2024
Documentation
Team
James Melville
Dirk Eddelbuettel
Show author detailsRolesContributorAaron Lun
Show author detailsRolesContributorYuhan Hao
Mohamed Nadhir Djekidel
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 74,314 times in the last 30 days. An impressive feat! Enough downloads to make even seasoned academics take note. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2,715 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 540,619 times in the last 365 days. Half a million downloads! This work is now a household name in certain academic circles. The day with the most downloads was Dec 14, 2024 with 7,491 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Imports5 packages
- Suggests7 packages
- Linking To4 packages
- Reverse Imports16 packages
- Reverse Suggests19 packages