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r-cran-fastcluster package

r-cran-fastcluster 1.1.25-3build1 source package in Ubuntu

Changelog

r-cran-fastcluster (1.1.25-3build1) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 10:25:24 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Focal release universe misc

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File Size SHA-256 Checksum
r-cran-fastcluster_1.1.25.orig.tar.gz 184.3 KiB f3661def975802f3dd3cec5b2a1379f3707eacff945cf448e33aec0da1ed4205
r-cran-fastcluster_1.1.25-3build1.debian.tar.xz 4.2 KiB 94ab46f4fc68cef9dcdef6d59b666d6f7251ba8c45ddfef8d717e2759231bcc6
r-cran-fastcluster_1.1.25-3build1.dsc 2.2 KiB 0707fcb9f72fb8f02449600ce3519cb4baff0db6a2be1818097a3cf634d684b3

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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: No summary available for r-cran-fastcluster-dbgsym in ubuntu groovy.

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