r-cran-fastcluster 1.1.24-1 source package in Ubuntu


r-cran-fastcluster (1.1.24-1) unstable; urgency=medium

  * New upstream version
  * Moved packaging from SVN to Git
  * Standards-Version: 4.1.1

 -- Andreas Tille <email address hidden>  Thu, 12 Oct 2017 17:03:04 +0200

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Uploaded by:
Debian Med on 2017-10-14
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Original maintainer:
Debian Med
Medium Urgency

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Series Pocket Published Component Section
Bionic release on 2017-11-20 universe misc


File Size SHA-256 Checksum
r-cran-fastcluster_1.1.24-1.dsc 2.4 KiB 44425cf164e92b98bd524c343cdffbc7b54c873df5ca7e034379c3f1d2bca1b2
r-cran-fastcluster_1.1.24.orig.tar.gz 184.3 KiB 82c939b79dbaf00c79b01f19b09a8fadb9a949397b8f65bc861c552e0485b995
r-cran-fastcluster_1.1.24-1.debian.tar.xz 3.9 KiB e20f9313e43a397cadc2abdc034a2983661c99a47eb2100120f2bcf304b16510

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Binary packages built by this source

python-fastcluster: No summary available for python-fastcluster in ubuntu cosmic.

No description available for python-fastcluster in ubuntu cosmic.

python-fastcluster-dbgsym: debug symbols for python-fastcluster
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 cosmic.

No description available for r-cran-fastcluster-dbgsym in ubuntu cosmic.