How to Install and Uninstall python-cluster Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 24,2024

1. Install "python-cluster" package

Please follow the guidance below to install python-cluster on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-cluster
            
                    
    
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2. Uninstall "python-cluster" package

In this section, we are going to explain the necessary steps to uninstall python-cluster on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-cluster
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-cluster package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-cluster
Priority: optional
Section: universe/python
Installed-Size: 43
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Version: 1.1.1b3-2
Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~)
Filename: pool/universe/p/python-cluster/python-cluster_1.1.1b3-2_all.deb
Size: 10400
MD5sum: 16e6216aaedf4b92404d681df545659a
SHA1: 2817ff119affdea18106e9a2bbcc0f9d5d0d40cf
SHA256: 0677cc7b98e6a88588d584410698b7d6b059a0f288918c6e21a83c2dd567575a
Description-en: allows grouping a list of arbitrary objects into related groups (clusters)
python-cluster is a "simple" package that allows users to create several groups
(clusters) of objects from a list. It's meant to be flexible and able to
cluster any object. To ensure this kind of flexibility, you need not only to
supply the list of objects, but also a function that calculates the similarity
between two of those objects. For simple datatypes, like integers, this can be
as simple as a subtraction, but more complex calculations are possible. Right
now, it is possible to generate the clusters using a hierarchical clustering
and the popular K-Means algorithm. For the hierarchical algorithm there are
different "linkage" (single, complete, average and uclus) methods available.
Description-md5: fbc7ac8909b5c9afefbcc56981679d10
Homepage: http://python-cluster.sourceforge.net/
Python-Version: 2.7
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu