genieclust (version 1.3.0)
Genie: Fast and Robust Hierarchical Clustering
Description
Genie is a robust hierarchical clustering algorithm
(Gagolewski, Bartoszuk, Cena, 2016 ).
'genieclust' is its faster, more capable implementation
(Gagolewski, 2021 ). It enables
clustering with respect to mutual reachability distances, allowing it to
act as an alternative to 'HDBSCAN*' that can identify any number of clusters
or their entire hierarchy. When combined with the 'deadwood' package,
it can act as an outlier detector. Additional package features include
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'.