genieclust: Fast and Robust Hierarchical Clustering with Noise Point
Detection
The Genie algorithm
(Gagolewski, 2021 <doi:10.1016/j.softx.2021.100722>) is a robust
and outlier-resistant hierarchical clustering method
(Gagolewski, Bartoszuk, Cena, 2016 <doi:10.1016/j.ins.2016.05.003>).
This package features its faster and more powerful version.
It allows clustering with respect to mutual reachability distances,
enabling it to act as a noise point detector or a version of
'HDBSCAN*' that can identify a predefined number of
clusters. The package also features an implementation
of the Gini and Bonferroni inequality indices, external cluster validity
measures (e.g., the normalised clustering accuracy, the adjusted Rand index,
the Fowlkes-Mallows index, and normalised mutual information), and internal
cluster validity indices (e.g., the Calinski-Harabasz, Davies-Bouldin,
Ball-Hall, Silhouette, and generalised Dunn indices).
The 'Python' version of 'genieclust' is available via 'PyPI'.
| Version: |
1.2.0 |
| Imports: |
Rcpp, stats, utils, quitefastmst |
| LinkingTo: |
Rcpp |
| Suggests: |
datasets |
| Published: |
2025-07-24 |
| DOI: |
10.32614/CRAN.package.genieclust |
| Author: |
Marek Gagolewski 
[aut, cre, cph],
Maciej Bartoszuk [ctb],
Anna Cena [ctb],
Peter M. Larsen [ctb] |
| Maintainer: |
Marek Gagolewski <marek at gagolewski.com> |
| BugReports: |
https://github.com/gagolews/genieclust/issues |
| License: |
AGPL-3 |
| URL: |
https://genieclust.gagolewski.com/,
https://clustering-benchmarks.gagolewski.com/,
https://github.com/gagolews/genieclust |
| NeedsCompilation: |
yes |
| SystemRequirements: |
OpenMP, C++17 |
| Citation: |
genieclust citation info |
| Materials: |
NEWS |
| In views: |
Cluster |
| CRAN checks: |
genieclust results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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