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[ 原始碼: r-cran-densityclust  ]

套件: 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.

其他與 r-cran-densityclust 有關的套件

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  • 建議
  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    同時作為一個虛擬套件由這些套件提供: libc6-udeb
  • dep: libgcc-s1 (>= 3.0)
    GCC support library
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-4.0
    本虛擬套件由這些套件提供: 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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