Ubuntu
r-cran-fastcluster package

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

Changelog

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

  * Drop support for python 2.7, stop building the python-fastcluster binary
    package (Closes: #938335)

 -- Gordon Ball <email address hidden>  Fri, 27 Sep 2019 17:49:21 +0000

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

Downloads

File Size SHA-256 Checksum
r-cran-fastcluster_1.1.25-3.dsc 2.2 KiB 723e1bba73c20c208232a053ea768aed65bc9ebc042e110c5110090d3dc412bc
r-cran-fastcluster_1.1.25.orig.tar.gz 184.3 KiB f3661def975802f3dd3cec5b2a1379f3707eacff945cf448e33aec0da1ed4205
r-cran-fastcluster_1.1.25-3.debian.tar.xz 4.1 KiB 588299b3011477342475eae7f7ef2c0875862772f6152691b41e7fa3b5bd3a0b

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