r-cran-fastcluster 1.2.3-2 source package in Ubuntu

Changelog

r-cran-fastcluster (1.2.3-2) unstable; urgency=medium

  * Disable reprotest
  * Disable blhc
  * Fix copyright
    Closes: #1030145
  * Standards-Version: 4.6.2 (routine-update)
  * Reorder sequence of d/control fields by cme (routine-update)

 -- Andreas Tille <email address hidden>  Wed, 01 Feb 2023 10:18:00 +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-fastcluster_1.2.3-2.dsc 2.2 KiB 50442ab04ded0608582bd017e80a03fdf5a7680ab26788b57f693e5c684a39fe
r-cran-fastcluster_1.2.3.orig.tar.gz 202.6 KiB 1f229129e1cddc78c7bb5ecc90c4d28ed810ee68cf210004c7cdfa12cfaf2a01
r-cran-fastcluster_1.2.3-2.debian.tar.xz 4.6 KiB 6c570b0da48c5978360375e9768e10de22a4f739d1621576a71746ab559ec235

No changes file available.

Binary packages built by this source

python3-fastcluster: Fast hierarchical clustering routines for Python 3

 This library provides Python functions for hierarchical
 clustering. It generates hierarchical clusters from distance matrices
 or from vector data.
 .
 Part of this module is intended to replace the functions
 .
     linkage, single, complete, average, weighted, centroid, median, ward
 .
 in the module scipy.cluster.hierarchy with the same functionality but
 much faster algorithms. Moreover, the function 'linkage_vector'
 provides memory-efficient clustering for vector data.
 .
 The interface is very similar to MATLAB's Statistics Toolbox API to
 make code easier to port from MATLAB to Python/Numpy. The core
 implementation of this library is in C++ for efficiency.
 .
 This package provides the package's Python 3 interface.

python3-fastcluster-dbgsym: debug symbols for python3-fastcluster
r-cran-fastcluster: Fast hierarchical clustering routines for GNU R

 Fastcluster implements fast hierarchical, agglomerative clustering
 routines. Part of the functionality is designed as drop-in replacement
 for existing routines: “linkage” in the SciPy package
 “scipy.cluster.hierarchy”, “hclust” in R's “stats” package, and the
 “flashClust” package. It provides the same functionality with the
 benefit of a much faster implementation. Moreover, there are
 memory-saving routines for clustering of vector data, which go beyond
 what the existing packages provide. For information on how to install
 the Python files, see the file INSTALL in the source distribution.

r-cran-fastcluster-dbgsym: debug symbols for r-cran-fastcluster