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Package: r-cran-uwot (0.1.5-2build1)

GNU R uniform manifold approximation and projection (UMAP)

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.

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  • dep: libc6 (>= 2.29)
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    also a virtual package provided by libc6-udeb
  • dep: libgcc-s1 (>= 3.4) [amd64]
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    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libstdc++6 (>= 5.2)
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  • dep: libtbb2 (>= 2017~U7) [amd64]
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    dep: libtbb2 (>= 2020.1) [armhf]
  • dep: r-api-3.5
    virtual package provided by r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1build1)
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  • dep: r-cran-dqrng
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  • dep: r-cran-fnn
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  • dep: r-cran-irlba
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  • dep: r-cran-matrix
    GNU R package of classes for dense and sparse matrices
  • dep: r-cran-rcpp
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  • dep: r-cran-rcppannoy (>= 0.0.11)
    Rcpp bindings for Annoy (approximate nearest neighbors)
  • dep: r-cran-rcppparallel
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  • dep: r-cran-rcppprogress
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  • dep: r-cran-rspectra
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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 343.2 kB687 kB [list of files]
armhf 329.2 kB542 kB [list of files]