How to Install and Uninstall libghc-hierarchical-clustering-prof Package on Ubuntu 20.04 LTS (Focal Fossa)

Last updated: November 22,2024

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

Here is a brief guide to show you how to install libghc-hierarchical-clustering-prof on Ubuntu 20.04 LTS (Focal Fossa)


    
        
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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 guide covers the steps necessary to uninstall libghc-hierarchical-clustering-prof on Ubuntu 20.04 LTS (Focal Fossa):


    
        
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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 20.04 LTS (Focal Fossa)

Package: libghc-hierarchical-clustering-prof
Architecture: amd64
Version: 0.4.6-6
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: 608
Provides: libghc-hierarchical-clustering-prof-0.4.6-47697
Depends: libghc-hierarchical-clustering-dev (= 0.4.6-6), libghc-array-prof-0.5.3.0-ea273, libghc-base-prof-4.12.0.0-a86a1, libghc-containers-prof-0.6.0.1-b7319
Filename: pool/universe/h/haskell-hierarchical-clustering/libghc-hierarchical-clustering-prof_0.4.6-6_amd64.deb
Size: 70968
MD5sum: 34e5409d6e32f805b3ccb7d6d06f07e8
SHA1: 9eed7714807aa36636d08d8ea6deb73901fff665
SHA256: d9829f6d9fc1aa144e91e28ecbcd6f1bb0945c3d39028e871b1d08876e625ef6
Homepage: http://hackage.haskell.org/package/hierarchical-clustering
Description: fast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries
Description-md5: 2ed7496693bb612eee3b8d45d5f19334