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

Last updated: May 10,2024

1. Install "elki" package

Learn how to install elki on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install elki

2. Uninstall "elki" package

Please follow the guidance below to uninstall elki on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove elki $ sudo apt autoclean && sudo apt autoremove

3. Information about the elki package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: elki
Priority: extra
Section: universe/science
Installed-Size: 4762
Maintainer: Ubuntu Developers
Original-Maintainer: Erich Schubert
Architecture: all
Version: 0.7.1-1
Depends: default-jre (>= 2:1.7) | java7-runtime, libbatik-java, libtrove3-java, libxmlgraphics-commons-java, libsvm3-java
Suggests: elki-dev, libfop-java
Filename: pool/universe/e/elki/elki_0.7.1-1_all.deb
Size: 4078660
MD5sum: de91dd77ca948ee2a1875eefc845990c
SHA1: 42ca3c20f7b6265b5e41e1f0b329a678c0e75179
SHA256: ead8f6dc7a0ea7b2226cb8d38c548ba9139382dff1d0fa8d6f9199faf0741491
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
Homepage: http://elki.dbs.ifi.lmu.de/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu