Пакет: r-cran-genie (1.0.5-2 и другие)
Ссылки для r-cran-genie
Исходный код r-cran-genie:
Сопровождающие:
Внешние ресурсы:
- Сайт [cran.r-project.org]
Подобные пакеты:
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.
Другие пакеты, относящиеся к r-cran-genie
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- dep: libc6 (>= 2.29)
- GNU C Library: Shared libraries
также виртуальный пакет, предоставляемый libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC support library
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- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
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- dep: libstdc++6 (>= 14) [arm64]
- GNU Standard C++ Library v3
- dep: libstdc++6 (>= 5.2) [amd64]
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- dep: r-api-4.0
- виртуальный пакет, предоставляемый r-base-core
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- dep: r-base-core (>= 4.0.3-1) [amd64]
- GNU R core of statistical computation and graphics system
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- dep: r-cran-genieclust
- GNU R Genie++ Hierarchical Clustering Algorithm with Noise Points Detection
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- dep: r-cran-rcpp (>= 1.0.0)
- GNU R package for Seamless R and C++ Integration
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-stringi
- GNU R character string processing facilities
Загрузка r-cran-genie
| Архитектура | Версия | Размер пакета | В установленном виде | Файлы |
|---|---|---|---|---|
| amd64 | 1.0.5-2 | 91,1 Кб | 295,0 Кб | [список файлов] |
| arm64 | 1.0.5-2+b1 | 90,4 Кб | 321,0 Кб | [список файлов] |