How to Install and Uninstall elki Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "elki" package

Please follow the guidelines below to install elki on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                elki
            
                    
    
    Copied

2. Uninstall "elki" package

In this section, we are going to explain the necessary steps to uninstall elki on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                elki
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the elki package on Ubuntu 20.10 (Groovy Gorilla)

Package: elki
Architecture: all
Version: 0.7.1-10.1
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Erich Schubert
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4745
Depends: default-jre (>= 2:1.8), libbatik-java (>= 1.10), libtrove3-java, libxmlgraphics-commons-java, libsvm3-java
Suggests: elki-dev, libfop-java
Filename: pool/universe/e/elki/elki_0.7.1-10.1_all.deb
Size: 4060884
MD5sum: 8f9a473ff945a561cf9a5501b5b1de78
SHA1: b11d8918f2dd7d1949f1479783261a7bb1b4203f
SHA256: 3482523b85079efbb3261b820cfa479a888aa821487c89c46bde95b590c83863
SHA512: f3338bef89e7ffde8ef3c603030014ad22851e639a5dbea861044e1a925328cdceb8334bfd4c15925ba759d952f8d71593491083c0fd4d6f1d3eab832d10488f
Homepage: https://elki-project.github.io/
Description-en: Data mining algorithm development framework
ELKI: "Environment for Developing KDD-Applications Supported by
Index-Structures" is a development framework for data mining algorithms
written in Java. It includes a large variety of popular data mining
algorithms, distance functions and index structures.
.
Its focus is particularly on clustering and outlier detection methods, in
contrast to many other data mining toolkits that focus on classification.
Additionally, it includes support for index structures to improve algorithm
performance such as R*-Tree and M-Tree.
.
The modular architecture is meant to allow adding custom components such
as distance functions or algorithms, while being able to reuse the other
parts for evaluation.
.
This package contains the compiled ELKI version, and launcher scripts.
Description-md5: 1cb9556a05eb3971a33ee5fb18a5e3f9