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genie
View on CRAN: Click
here
Download and install genie package within the R console
Install from CRAN:
install.packages("genie")
Install from Github:
library("remotes")
install_github("cran/genie")
Install by package version:
library("remotes")
install_version("genie", "1.0.5")
Attach the package and use:
library("genie")
Maintained by
Marek Gagolewski
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-07
Latest Update: 2020-08-02
Description:
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 ).
For an even faster and more feature-rich implementation, including,
amongst others, noise point detection, see the 'genieclust' package.
How to cite:
Marek Gagolewski (2016). genie: Fast, Robust, and Outlier Resistant Hierarchical Clustering. R package version 1.0.5, https://cran.r-project.org/web/packages/genie. Accessed 21 Nov. 2024.
Previous versions and publish date:
Other packages that cited genie R package
View genie citation profile
Other R packages that genie depends,
imports, suggests or enhances
Complete documentation for genie
Functions, R codes and Examples using
the genie R package
Some associated functions: genie-package . hclust2 .
Some associated R codes: RcppExports.R . genie-package.R . hclust2.R . Full genie package functions and examples
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