How to Install and Uninstall python311-fastcluster Package on openSuSE Tumbleweed

Last updated: December 28,2024

1. Install "python311-fastcluster" package

In this section, we are going to explain the necessary steps to install python311-fastcluster on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python311-fastcluster
            
                    
    
    Copied

2. Uninstall "python311-fastcluster" package

This is a short guide on how to uninstall python311-fastcluster on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python311-fastcluster
            
                    
    
    Copied

3. Information about the python311-fastcluster package on openSuSE Tumbleweed

Information for package python311-fastcluster:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-fastcluster
Version : 1.2.6-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 140.9 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.