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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 185.2 kB | win-64/r-umap-0.2.6.0-r40h796a38f_0.tar.bz2  4 years and 8 months ago 1037 main
conda 185.7 kB | win-64/r-umap-0.2.6.0-r36h796a38f_0.tar.bz2  4 years and 8 months ago 1045 main
conda 175.7 kB | osx-64/r-umap-0.2.6.0-r36hc5da6b9_0.tar.bz2  4 years and 8 months ago 345 main
conda 175.3 kB | osx-64/r-umap-0.2.6.0-r40hc5da6b9_0.tar.bz2  4 years and 8 months ago 341 main
conda 180.6 kB | linux-64/r-umap-0.2.6.0-r40h0357c0b_0.tar.bz2  4 years and 8 months ago 3033 main
conda 181.0 kB | linux-64/r-umap-0.2.6.0-r36h0357c0b_0.tar.bz2  4 years and 8 months ago 3332 main

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