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

Last updated: November 23,2024

1. Install "libhac-java" package

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


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libhac-java
            
                    
    
    Copied

2. Uninstall "libhac-java" package

This guide let you learn how to uninstall libhac-java on Ubuntu 21.04 (Hirsute Hippo):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libhac-java
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libhac-java package on Ubuntu 21.04 (Hirsute Hippo)

Package: libhac-java
Architecture: all
Version: 0.20110510-3
Priority: optional
Section: universe/java
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 27
Suggests: libhac-java-doc
Filename: pool/universe/libh/libhac-java/libhac-java_0.20110510-3_all.deb
Size: 13912
MD5sum: d963097c030403232483438f82dd382b
SHA1: eb47838b8f0f500bda5a92c2c98017f3855d6c32
SHA256: 80dab3a1d9bd211831b1acd87e2f4c40a33f8611517a32bdb1e1daf61025052d
SHA512: a308e713b341b39c046563350dcc1f79f4745a6913c34836b1de08674b2d6b6fe22b9e3689445d45103f9ffd3442324d1ce2e35489b534c2e5904a3bcabf20e5
Homepage: http://sape.inf.usi.ch/hac
Description-en: 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).
Description-md5: 2ca270acc8c1079fcf5bb0087ed58583