How to Install and Uninstall libhac-java Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 23,2024

1. Install "libhac-java" package

Here is a brief guide to show you how to install libhac-java on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libhac-java
            
                    
    
    Copied

2. Uninstall "libhac-java" package

Here is a brief guide to show you how to uninstall libhac-java on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libhac-java
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libhac-java package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libhac-java
Priority: optional
Section: universe/java
Installed-Size: 44
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: all
Version: 0.20110510-1
Suggests: libhac-java-doc
Filename: pool/universe/libh/libhac-java/libhac-java_0.20110510-1_all.deb
Size: 11838
MD5sum: 8e47b4e0608a1dbc2ccd7224c20746c2
SHA1: cc5bc57b27a3de16dea555598056484448e1442f
SHA256: fe5506010ff6e0df1f6a75e9a382ac4a89dbfb22eeeff3a67d5c27a180895d72
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
Homepage: http://sape.inf.usi.ch/hac
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu