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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 183.9 kB | win-64/r-umap-0.2.5.0-r40h796a38f_0.tar.bz2  4 years and 9 months ago 1045 main
conda 184.8 kB | win-64/r-umap-0.2.5.0-r36h796a38f_0.tar.bz2  4 years and 9 months ago 994 main
conda 175.2 kB | osx-64/r-umap-0.2.5.0-r36hc5da6b9_0.tar.bz2  4 years and 9 months ago 322 main
conda 174.8 kB | osx-64/r-umap-0.2.5.0-r40hc5da6b9_0.tar.bz2  4 years and 9 months ago 319 main
conda 183.0 kB | linux-64/r-umap-0.2.5.0-r36h0357c0b_0.tar.bz2  4 years and 9 months ago 3114 main
conda 182.7 kB | linux-64/r-umap-0.2.5.0-r40h0357c0b_0.tar.bz2  4 years and 9 months ago 3048 main

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