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Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).

copied from cf-staging / r-umap
Type Size Name Uploaded Downloads Labels
conda 199.5 kB | win-64/r-umap-0.2.8.0-r40ha856d6a_0.tar.bz2  2 years and 11 months ago 707 main
conda 197.5 kB | win-64/r-umap-0.2.8.0-r41ha856d6a_0.tar.bz2  2 years and 11 months ago 717 main
conda 193.4 kB | osx-64/r-umap-0.2.8.0-r40hc4bb905_0.tar.bz2  2 years and 11 months ago 105 main
conda 194.0 kB | osx-64/r-umap-0.2.8.0-r41hc4bb905_0.tar.bz2  2 years and 11 months ago 138 main
conda 195.4 kB | linux-64/r-umap-0.2.8.0-r40h7525677_0.tar.bz2  2 years and 11 months ago 2880 main
conda 196.0 kB | linux-64/r-umap-0.2.8.0-r41h7525677_0.tar.bz2  2 years and 11 months ago 2495 main

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