How to Install and Uninstall python39-fastcluster Package on openSuSE Tumbleweed
Last updated: December 24,2024
1. Install "python39-fastcluster" package
This guide covers the steps necessary to install python39-fastcluster on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-fastcluster
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2. Uninstall "python39-fastcluster" package
Please follow the step by step instructions below to uninstall python39-fastcluster on openSuSE Tumbleweed:
$
sudo zypper remove
python39-fastcluster
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3. Information about the python39-fastcluster package on openSuSE Tumbleweed
Information for package python39-fastcluster:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-fastcluster
Version : 1.2.6-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 136.0 KiB
Installed : No
Status : not installed
Source package : python-fastcluster-1.2.6-1.8.src
Upstream URL : https://github.com/dmuellner/fastcluster
Summary : Hierarchical clustering routines for Python
Description :
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.
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-fastcluster
Version : 1.2.6-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 136.0 KiB
Installed : No
Status : not installed
Source package : python-fastcluster-1.2.6-1.8.src
Upstream URL : https://github.com/dmuellner/fastcluster
Summary : Hierarchical clustering routines for Python
Description :
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.