ELKI

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
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 at the database systems research unit of Professor Hans-Peter Kriegel at the Ludwig Maximilian University of Munich, Germany, and now 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.

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