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r-cran-fastcluster package

r-cran-fastcluster 1.2.6-1 source package in Ubuntu

Changelog

r-cran-fastcluster (1.2.6-1) unstable; urgency=medium

  * New upstream version
  * Build-Depends: s/dh-python/dh-sequence-python3/ (routine-update)
  * NEWS is now NEWS.md

 -- Andreas Tille <email address hidden>  Wed, 17 Jan 2024 14:50:11 +0100

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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

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r-cran-fastcluster_1.2.6-1.dsc 2.2 KiB c9ca164c075fb694fc9df81ffe5a3c5be796c120fa97c29bf255af4b876e5772
r-cran-fastcluster_1.2.6.orig.tar.gz 203.3 KiB 852a05458fb0b64497e9cf8f0182b599d1c2b1e9af03ec45f7c0c9280c1f8d19
r-cran-fastcluster_1.2.6-1.debian.tar.xz 4.7 KiB d6f15467473e8b15990b978cee502fc0b2477a880f018fd12cdc42f42104d2f8

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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