r-cran-fastcluster 1.1.25-3build2 source package in Ubuntu

Changelog

r-cran-fastcluster (1.1.25-3build2) groovy; urgency=medium

  * No-change rebuild against r-api-4.0

 -- Graham Inggs <email address hidden>  Sat, 30 May 2020 09:57:11 +0000

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Uploaded by:
Graham Inggs on 2020-05-30
Uploaded to:
Groovy
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Groovy release on 2020-06-26 universe misc

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r-cran-fastcluster_1.1.25.orig.tar.gz 184.3 KiB f3661def975802f3dd3cec5b2a1379f3707eacff945cf448e33aec0da1ed4205
r-cran-fastcluster_1.1.25-3build2.debian.tar.xz 4.2 KiB 5f9542625b9bf6b352cd9d8e28e599d63e8ca08b51aa37c55e4f864f5144a476
r-cran-fastcluster_1.1.25-3build2.dsc 2.2 KiB 73ba3bbccf86949a50f9a6f9641681a64f0325181bd678c40dc0add40a1cd091

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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