Package: r-cran-genie (1.0.5-2)

[ Source: r-cran-genie  ]

GNU R fast, robust, and outlier resistant hierarchical clustering

Includes the reference implementation of Genie - a hierarchical clustering algorithm that links two point groups in such a way that an inequity measure (namely, the Gini index) of the cluster sizes does not significantly increase above a given threshold. This method most often outperforms many other data segmentation approaches in terms of clustering quality as tested on a wide range of benchmark datasets. At the same time, Genie retains the high speed of the single linkage approach, therefore it is also suitable for analysing larger data sets. For more details see (Gagolewski et al. 2016 <DOI:10.1016/j.ins.2016.05.003>). For an even faster and more feature-rich implementation, including, amongst others, noise point detection, see the 'genieclust' package.

Other Packages Related to r-cran-genie

• dep: libc6 (>= 2.29)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0) [not armel, armhf]

  GCC support library

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

• dep: libgomp1 (>= 6)

  GCC OpenMP (GOMP) 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 (>= 4.0.3-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-genieclust

  GNU R Genie++ Hierarchical Clustering Algorithm with Noise Points Detection

• dep: r-cran-rcpp (>= 1.0.0)

  GNU R package for Seamless R and C++ Integration

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-cran-stringi

  GNU R character string processing facilities

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