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

copied from cf-staging / r-uwot
Type Size Name Uploaded Downloads Labels
conda 423.2 kB | win-64/r-uwot-0.1.9-r36ha856d6a_0.tar.bz2  4 years and 26 days ago 946 main
conda 422.5 kB | win-64/r-uwot-0.1.9-r40ha856d6a_0.tar.bz2  4 years and 26 days ago 922 main
conda 399.4 kB | osx-64/r-uwot-0.1.9-r40h1019320_0.tar.bz2  4 years and 26 days ago 277 main
conda 399.9 kB | osx-64/r-uwot-0.1.9-r36h1019320_0.tar.bz2  4 years and 26 days ago 284 main
conda 410.6 kB | linux-64/r-uwot-0.1.9-r36he524a50_0.tar.bz2  4 years and 26 days ago 2738 main
conda 409.9 kB | linux-64/r-uwot-0.1.9-r40he524a50_0.tar.bz2  4 years and 26 days ago 2670 main

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