elki-cli

Data mining algorithm development framework

Install

All systems
curl cmd.cat/elki-cli.sh
Debian Debian
apt-get install elki
Ubuntu
apt-get install elki
image/svg+xml Kali Linux
apt-get install elki
Windows (WSL2)
sudo apt-get update sudo apt-get install elki
Raspbian
apt-get install elki
Dockerfile
dockerfile.run/elki-cli

elki

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 also includes the source code, since this software is meant for the rapid development of such algorithms, not so much for end users.