r-cran-genieclust 1.0.0-1 source package in Ubuntu

Changelog

r-cran-genieclust (1.0.0-1) unstable; urgency=medium

  * New upstream version
  * debhelper-compat 13 (routine-update)
  * Standards-Version: 4.6.0 (routine-update)
  * Trim trailing whitespace.
  * Set upstream metadata fields: Archive, Bug-Database, Bug-Submit, Repository,
    Repository-Browse.

 -- Andreas Tille <email address hidden>  Mon, 20 Sep 2021 09:53:32 +0200

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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
Jammy release universe misc

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File Size SHA-256 Checksum
r-cran-genieclust_1.0.0-1.dsc 2.1 KiB 94cbdbce4be79c2d3c3ad12aca5f906c23b5962e3e0894bf2e6554159cc1545d
r-cran-genieclust_1.0.0.orig.tar.gz 54.5 KiB c37e65b84aea87f24ba3df4e3c8a3f856dc46492ac40e62935c86c5f325d6bbd
r-cran-genieclust_1.0.0-1.debian.tar.xz 12.6 KiB 0c7c05e4b090177a1234c71dfa4b25f98f81c875a64556a726cbc1986458f79b

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: No summary available for r-cran-genieclust-dbgsym in ubuntu kinetic.

No description available for r-cran-genieclust-dbgsym in ubuntu kinetic.