r-cran-genieclust 1.1.5-2-1 source package in Ubuntu
Changelog
r-cran-genieclust (1.1.5-2-1) unstable; urgency=medium * New upstream version * Standards-Version: 4.6.2 (routine-update) * dh-update-R to update Build-Depends (routine-update) -- Andreas Tille <email address hidden> Mon, 23 Oct 2023 08:29:48 +0200
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-cran-genieclust_1.1.5-2-1.dsc | 2.1 KiB | 3d4114aee6c2fe7125c28f17421357cabe650363b413be1a5c962ba9ccdf3c4b |
r-cran-genieclust_1.1.5-2.orig.tar.gz | 84.2 KiB | 1354cffb0bbdeb0de9e08f2cb69a232b491fba1fed89e3ee0d0430eb371f1959 |
r-cran-genieclust_1.1.5-2-1.debian.tar.xz | 12.8 KiB | 8bec11c4dcee1cb804d617c206ebe7d57faca191a0c0442c1f63cbb1a7b53cab |
Available diffs
- diff from 1.1.3-1 to 1.1.5-2-1 (26.1 KiB)
No changes file available.
Binary packages built by this source
- r-cran-genieclust: GNU R Genie++ Hierarchical Clustering Algorithm with Noise Points Detection
A retake on the Genie algorithm - 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 economic inequity indices
(the Gini, Bonferroni index) and external cluster validity measures
(partition similarity scores; e.g., the adjusted Rand, Fowlkes-Mallows,
adjusted mutual information, pair sets index).
.
See also the 'Python' version of 'genieclust' available on 'PyPI', which
supports sparse data, more metrics, and even larger datasets.
- r-cran-genieclust-dbgsym: debug symbols for r-cran-genieclust