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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.
Getting started
Browse package contents
Package details |
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| Author | James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb] |
| Maintainer | James Melville <jlmelville@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.2.2 |
| URL | https://github.com/jlmelville/uwot https://jlmelville.github.io/uwot/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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