ELKI

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Environment for DeveLoping KDD-Applications Supported by Index-Structures

Screenshot of ELKI 0.4 visualizing OPTICS cluster analysis.
Developer(s)	Technical University of Dortmund; initially Ludwig Maximilian University of Munich
Stable release	0.8.0 / 5 October 2022; 2 years ago (2022-10-05)
Repository	github.com/elki-project/elki
Written in	Java
Operating system	Microsoft Windows, Linux, Mac OS
Platform	Java platform
Type	Data mining
License	AGPL (since version 0.4.0)
Website	elki-project.github.io

ELKI (Environment for Developing KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching. It was originally created by the database systems research unit at the Ludwig Maximilian University of Munich, Germany, led by Professor Hans-Peter Kriegel. The project has continued at the Technical University of Dortmund, Germany. It aims at allowing the development and evaluation of advanced data mining algorithms and their interaction with database index structures.