How to Install and Uninstall libghc-hierarchical-clustering-doc Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: December 27,2024

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

Please follow the instructions below to install libghc-hierarchical-clustering-doc on Ubuntu 22.10 (Kinetic Kudu)


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

In this section, we are going to explain the necessary steps to uninstall libghc-hierarchical-clustering-doc on Ubuntu 22.10 (Kinetic Kudu):


    
        
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                sudo apt remove
            
                        
                libghc-hierarchical-clustering-doc
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libghc-hierarchical-clustering-doc package on Ubuntu 22.10 (Kinetic Kudu)

Package: libghc-hierarchical-clustering-doc
Architecture: all
Version: 0.4.7-2
Priority: extra
Section: universe/doc
Source: haskell-hierarchical-clustering
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Haskell Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 675
Depends: haddock-interface-38
Recommends: ghc-doc, libghc-hierarchical-clustering-dev, libjs-mathjax
Suggests: libghc-hierarchical-clustering-prof
Filename: pool/universe/h/haskell-hierarchical-clustering/libghc-hierarchical-clustering-doc_0.4.7-2_all.deb
Size: 52252
MD5sum: 3bba47f8890c436b3e13f807435e3490
SHA1: 62c86a5cc681b5779df6bf3da6ce8c75ccb884c7
SHA256: 8be439c0df537403d53de2f6b3ae7810b022b056689fb43258c40d1fa558fb3b
SHA512: eb16177087e63c3ca8d4c47a05eef804fdfd8b55b785255b5db03d202768a515ee966b6a8cef2d4ff88cdac4b0fe56adddd48cb8bc3ff22febc54e6133d0b6e4
Homepage: https://hackage.haskell.org/package/hierarchical-clustering
Description: fast algorithms for single, average/UPGMA and complete linkage clustering; documentation
Description-md5: 525776fdf18583782ab432bc474bceaa