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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 383.1 kB | win-64/r-uwot-0.1.4-r36h796a38f_0.tar.bz2  5 years and 2 months ago 1336 main cf202003
conda 394.5 kB | win-64/r-uwot-0.1.4-r35h796a38f_0.tar.bz2  5 years and 2 months ago 1275 main cf202003
conda 386.1 kB | osx-64/r-uwot-0.1.4-r35hf99fc2c_0.tar.bz2  5 years and 2 months ago 358 main cf202003
conda 374.7 kB | osx-64/r-uwot-0.1.4-r36hf99fc2c_0.tar.bz2  5 years and 2 months ago 438 main cf202003
conda 403.5 kB | linux-64/r-uwot-0.1.4-r35h0357c0b_0.tar.bz2  5 years and 2 months ago 3464 main cf202003
conda 391.7 kB | linux-64/r-uwot-0.1.4-r36h0357c0b_0.tar.bz2  5 years and 2 months ago 3698 main cf202003

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