Package: genie Type: Package Title: Fast, Robust, and Outlier Resistant Hierarchical Clustering Version: 1.0.6.9002 Date: 2025-05-28 Authors@R: c( person("Marek", "Gagolewski", role = c("aut", "cre", "cph"), email = "marek@gagolewski.com", comment = c(ORCID = "0000-0003-0637-6028")), person("Maciej", "Bartoszuk", role = "aut", email = "bartoszuk@rexamine.com", comment = c(ORCID = "0000-0001-6088-8273")), person("Anna", "Cena", role = "aut", email = "cena@rexamine.com", comment = c(ORCID = "0000-0001-8697-5383")) ) 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 (Gagolewski, 2021 ). License: GPL (>= 3) BugReports: http://github.com/gagolews/genie/issues URL: http://genieclust.gagolewski.com/ https://github.com/gagolews/genie Depends: R (>= 3.3.0), stats, genieclust Imports: Rcpp (>= 1.0.0) Suggests: datasets, testthat, stringi LinkingTo: Rcpp (>= 1.0.0) SystemRequirements: OpenMP, C++11 RoxygenNote: 7.1.1 Repository: https://gagolews.r-universe.dev Date/Publication: 2025-05-28 11:03:07 UTC RemoteUrl: https://github.com/gagolews/genie RemoteRef: HEAD RemoteSha: cf74c698e04eab6c098e5e114008f4be56ee4986 NeedsCompilation: yes Packaged: 2026-07-04 03:09:35 UTC; root Author: Marek Gagolewski [aut, cre, cph] (ORCID: ), Maciej Bartoszuk [aut] (ORCID: ), Anna Cena [aut] (ORCID: ) Maintainer: Marek Gagolewski