How to Install and Uninstall libghc-hierarchical-clustering-prof Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: January 24,2025

1. Install "libghc-hierarchical-clustering-prof" package

Here is a brief guide to show you how to install libghc-hierarchical-clustering-prof on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libghc-hierarchical-clustering-prof
            
                    
    
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2. Uninstall "libghc-hierarchical-clustering-prof" package

This is a short guide on how to uninstall libghc-hierarchical-clustering-prof on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
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                sudo apt remove
            
                        
                libghc-hierarchical-clustering-prof
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libghc-hierarchical-clustering-prof package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: libghc-hierarchical-clustering-prof
Architecture: amd64
Version: 0.4.6-3build1
Priority: extra
Section: universe/haskell
Source: haskell-hierarchical-clustering
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Haskell Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 569
Provides: libghc-hierarchical-clustering-prof-0.4.6-a8301
Depends: libghc-hierarchical-clustering-dev (= 0.4.6-3build1), libghc-array-prof-0.5.1.1-581e7, libghc-base-prof-4.9.1.0-d28d6, libghc-containers-prof-0.5.7.1-cd211
Filename: pool/universe/h/haskell-hierarchical-clustering/libghc-hierarchical-clustering-prof_0.4.6-3build1_amd64.deb
Size: 68002
MD5sum: baea4e7d1687f1fa5224ae9c1df527d1
SHA1: 8438ca590073936e7d7b7593cb6125e6220eab10
SHA256: 3dd4f35ce2d5418a2396b7e772121fb923c9c6e8bcfb580df069aebeef6dcf83
Homepage: http://hackage.haskell.org/package/hierarchical-clustering
Description: fast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries
Description-md5: 2ed7496693bb612eee3b8d45d5f19334