ELKI
| Environment for DeveLoping KDD-Applications Supported by Index-Structures | |
|---|---|
Screenshot of ELKI 0.4 visualizing OPTICS cluster analysis | |
| Developers | Technical University of Dortmund; initially LMU Munich |
| Stable release | 0.8.0
/ 5 October 2022 |
| 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 |
| Repository | |
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 LMU 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.