How to Install and Uninstall python3-fastcluster Package on openSUSE Leap
Last updated: December 24,2024
1. Install "python3-fastcluster" package
Please follow the guidelines below to install python3-fastcluster on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
python3-fastcluster
Copied
2. Uninstall "python3-fastcluster" package
In this section, we are going to explain the necessary steps to uninstall python3-fastcluster on openSUSE Leap:
$
sudo zypper remove
python3-fastcluster
Copied
3. Information about the python3-fastcluster package on openSUSE Leap
Information for package python3-fastcluster:
--------------------------------------------
Repository : Main Repository
Name : python3-fastcluster
Version : 1.1.26-bp155.2.13
Arch : x86_64
Vendor : openSUSE
Installed Size : 131.3 KiB
Installed : No
Status : not installed
Source package : python-fastcluster-1.1.26-bp155.2.13.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 : Main Repository
Name : python3-fastcluster
Version : 1.1.26-bp155.2.13
Arch : x86_64
Vendor : openSUSE
Installed Size : 131.3 KiB
Installed : No
Status : not installed
Source package : python-fastcluster-1.1.26-bp155.2.13.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.