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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 268.2 kB | win-64/r-umap-0.2.3.1-r35h796a38f_0.tar.bz2  5 years and 5 months ago 1283 main cf202003
conda 270.0 kB | win-64/r-umap-0.2.3.1-r36h796a38f_0.tar.bz2  5 years and 5 months ago 1270 main cf202003
conda 246.3 kB | osx-64/r-umap-0.2.3.1-r35hf99fc2c_0.tar.bz2  5 years and 5 months ago 349 main cf202003
conda 248.3 kB | osx-64/r-umap-0.2.3.1-r36hf99fc2c_0.tar.bz2  5 years and 5 months ago 362 main cf202003
conda 255.6 kB | linux-64/r-umap-0.2.3.1-r35h0357c0b_0.tar.bz2  5 years and 5 months ago 3706 main cf202003
conda 257.7 kB | linux-64/r-umap-0.2.3.1-r36h0357c0b_0.tar.bz2  5 years and 5 months ago 3728 main cf202003

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