How to Install and Uninstall libhac-java-doc Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 17,2024

1. Install "libhac-java-doc" package

Please follow the guidance below to install libhac-java-doc on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libhac-java-doc
            
                    
    
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2. Uninstall "libhac-java-doc" package

Please follow the steps below to uninstall libhac-java-doc on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libhac-java-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libhac-java-doc package on Ubuntu 21.04 (Hirsute Hippo)

Package: libhac-java-doc
Architecture: all
Version: 0.20110510-3
Priority: optional
Section: universe/doc
Source: libhac-java
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1719
Suggests: libhac-java
Filename: pool/universe/libh/libhac-java/libhac-java-doc_0.20110510-3_all.deb
Size: 254608
MD5sum: bc1ba545233fcd8476ff1f8a30076e06
SHA1: 24c339afe6afbdc45abfcb589f2eefefd46dce19
SHA256: 5122ab46658a9899437aa1f8d8d46b291c785ac67db2072e71281ecbbab0b671
SHA512: da8d7c0c1200c7430c2e557b6ee851033bd2a837f21ad428f618a610742e08e76ca99027512d9c552da6cbf350ebf58cbb14294c2539d8cbd5d1a09bbd46969c
Homepage: http://sape.inf.usi.ch/hac
Description-en: API documentation for hierarchical agglomerative clustering
Hac is a simple library for hierarchical agglomerative clustering. The goal of
Hac is to be easy to use in any context that might require a hierarchical
agglomerative clustering approach. You can use Hac by bundling Hac with your
application, and by implementing two interfaces:
* Experiment (to tell Hac what to cluster), and
* DissimilarityMeasure (to tell Hac how to compute the dissimilarity between
two observations).
.
This package contains the API documentation of libhac-java.
Description-md5: 4e0ab5cdf1ce122da28ac813f8d7e5e5