| Name : R-genieclust
| |
| Version : 1.1.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-10 00:54:51
|
| Group : Development/Libraries/Other
| Source RPM : R-genieclust-1.1.6-lp153.1.1.src.rpm
|
| Size : 0.51 MB
| |
| Packager : (none)
| |
| Summary : Fast and Robust Hierarchical Clustering with Noise Points Detection
|
Description :
A retake on the Genie algorithm (Gagolewski, 2021
< DOI:10.1016/j.softx.2021.100722>) - a robust hierarchical clustering
method (Gagolewski, Bartoszuk, Cena, 2016
< DOI:10.1016/j.ins.2016.05.003>). Now faster and more memory efficient;
determining the whole hierarchy for datasets of 10M points in low
dimensional Euclidean spaces or 100K points in high-dimensional ones
takes only 1-2 minutes. Allows clustering with respect to mutual
reachability distances so that it can act as a noise point detector or
a robustified version of \'HDBSCAN*\' (that is able to detect a
predefined number of clusters and hence it does not dependent on the
somewhat fragile \'eps\' parameter). The package also features an
implementation of inequality indices (the Gini, Bonferroni index),
external cluster validity measures (e.g., the normalised clustering
accuracy and partition similarity scores such as the adjusted Rand,
Fowlkes-Mallows, adjusted mutual information, and the pair sets index),
and internal cluster validity indices (e.g., the Calinski-Harabasz,
Davies-Bouldin, Ball-Hall, Silhouette, and generalised Dunn indices).
See also the \'Python\' version of \'genieclust\' available on \'PyPI\',
which supports sparse data, more metrics, and even larger datasets.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
