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r-cran-genieclust package

r-cran-genieclust 1.1.3-1 source package in Ubuntu

Changelog

r-cran-genieclust (1.1.3-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)

 -- Andreas Tille <email address hidden>  Sat, 21 Jan 2023 15:15:25 +0100

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 Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
r-cran-genieclust_1.1.3-1.dsc 2.1 KiB e8f042ecc12e1fc75f78834723176ac2ebc9bc85ae94933d7136fdddcbdba555
r-cran-genieclust_1.1.3.orig.tar.gz 82.7 KiB feb6a3c2c3abf1097785d63682b67f5e6561a84cee39d4861d179da31c0c1d6e
r-cran-genieclust_1.1.3-1.debian.tar.xz 12.7 KiB 3073a34c68d5474979165611d936f5ced6a6f7f7f584d1f0991e1a15fea1fb8e

Available diffs

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