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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 609.5 kB | win-64/r-uwot-0.1.15-r41ha856d6a_0.conda  1 year and 5 months ago 335 main
conda 665.8 kB | osx-64/r-uwot-0.1.15-r42hac7d2d5_0.conda  1 year and 5 months ago 149 main
conda 647.1 kB | osx-arm64/r-uwot-0.1.15-r42he62749d_0.conda  1 year and 5 months ago 110 main
conda 647.8 kB | osx-arm64/r-uwot-0.1.15-r43he62749d_0.conda  1 year and 5 months ago 130 main
conda 666.1 kB | osx-64/r-uwot-0.1.15-r43hac7d2d5_0.conda  1 year and 5 months ago 149 main
conda 658.1 kB | linux-64/r-uwot-0.1.15-r42ha503ecb_0.conda  1 year and 5 months ago 1359 main
conda 658.7 kB | linux-64/r-uwot-0.1.15-r43ha503ecb_0.conda  1 year and 5 months ago 1132 main

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