How to Install and Uninstall elki-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 25,2024

1. Install "elki-dev" package

Please follow the steps below to install elki-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                elki-dev
            
                    
    
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2. Uninstall "elki-dev" package

Learn how to uninstall elki-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                elki-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the elki-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: elki-dev
Priority: extra
Section: universe/science
Installed-Size: 27020
Maintainer: Ubuntu Developers
Original-Maintainer: Erich Schubert
Architecture: all
Source: elki
Version: 0.7.1-1
Depends: elki, default-jdk (>= 2:1.7) | java7-sdk
Suggests: default-jdk-doc
Filename: pool/universe/e/elki/elki-dev_0.7.1-1_all.deb
Size: 23304098
MD5sum: ec38c5f3fa0a3d1a8241579dcdc57b65
SHA1: 5d6847b7a8f0666dabbceffb16d43978305e6444
SHA256: 6e12280346dd52bd540639791ed52a123fb6f62723761491bebf26c8e36029c5
Description-en: Data mining algorithm development framework - development files
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.
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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.
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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.
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This package contains the JavaDoc and the source code package.
Description-md5: 648c5c57de65de788810e6bbbd802f44
Homepage: http://elki.dbs.ifi.lmu.de/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu