How to Install and Uninstall elki Package on Kali Linux
Last updated: November 26,2024
1. Install "elki" package
Please follow the guidelines below to install elki on Kali Linux
$
sudo apt update
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$
sudo apt install
elki
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2. Uninstall "elki" package
In this section, we are going to explain the necessary steps to uninstall elki on Kali Linux:
$
sudo apt remove
elki
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the elki package on Kali Linux
Package: elki
Version: 0.7.1-10.1
Installed-Size: 4745
Maintainer: Erich Schubert
Architecture: all
Depends: default-jre (>= 2:1.8), libbatik-java (>= 1.10), libtrove3-java, libxmlgraphics-commons-java, libsvm3-java
Suggests: elki-dev, libfop-java
Size: 4062932
SHA256: f286c29aeed23245e2318a0033483072b198ef2bff5239a29582d48392e31991
SHA1: 57b579dffaf184cdc36bbabc17eff80537c53e46
MD5sum: 07a21538dbecb2cd2e46fe03413abf51
Description: 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:
Homepage: https://elki-project.github.io/
Tag: devel::lang:java, devel::library, field::statistics,
implemented-in::java, interface::commandline, interface::graphical,
interface::x11, role::devel-lib, role::program, role::source,
science::calculation, science::visualisation, scope::utility,
uitoolkit::gtk, use::analysing, works-with-format::TODO,
works-with-format::svg, works-with::db, x11::application
Section: science
Priority: optional
Filename: pool/main/e/elki/elki_0.7.1-10.1_all.deb
Version: 0.7.1-10.1
Installed-Size: 4745
Maintainer: Erich Schubert
Architecture: all
Depends: default-jre (>= 2:1.8), libbatik-java (>= 1.10), libtrove3-java, libxmlgraphics-commons-java, libsvm3-java
Suggests: elki-dev, libfop-java
Size: 4062932
SHA256: f286c29aeed23245e2318a0033483072b198ef2bff5239a29582d48392e31991
SHA1: 57b579dffaf184cdc36bbabc17eff80537c53e46
MD5sum: 07a21538dbecb2cd2e46fe03413abf51
Description: 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:
Homepage: https://elki-project.github.io/
Tag: devel::lang:java, devel::library, field::statistics,
implemented-in::java, interface::commandline, interface::graphical,
interface::x11, role::devel-lib, role::program, role::source,
science::calculation, science::visualisation, scope::utility,
uitoolkit::gtk, use::analysing, works-with-format::TODO,
works-with-format::svg, works-with::db, x11::application
Section: science
Priority: optional
Filename: pool/main/e/elki/elki_0.7.1-10.1_all.deb