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Package: r-cran-densityclust (0.3-2)

GNU R clustering by fast search and find of density peaks

An improved implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described by Alex Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets (> 100, 000 samples) very efficiently. It was initially implemented by Thomas Lin Pedersen, with inputs from Sean Hughes and later improved by Xiaojie Qiu to handle large datasets with kNNs.

Other Packages Related to r-cran-densityclust

  • depends
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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: libgcc-s1 (>= 3.5)
    GCC support library
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-4.0
    virtual package provided by r-base-core
  • dep: r-base-core (>= 4.0.2-1build1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-fnn
    GNU R fast nearest neighbor search algorithms and applications
  • dep: r-cran-ggplot2
    implementation of the Grammar of Graphics
  • dep: r-cran-ggrepel
    auto-position non-overlapping text labels in plots
  • dep: r-cran-gridextra
    GNU R package with extensions for the grid package
  • dep: r-cran-rcolorbrewer
    GNU R package providing suitable color palettes
  • dep: r-cran-rcpp
    GNU R package for Seamless R and C++ Integration
  • dep: r-cran-rtsne
    GNU R T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut

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