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genie  

Fast, Robust, and Outlier Resistant Hierarchical Clustering
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]
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 08 May. 2025.
Previous versions and publish date:
1.0.0 (2016-03-07 23:24), 1.0.2 (2016-05-25 15:52), 1.0.4 (2017-04-27 17:44)
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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