ELKI
For data mining research, ELKI provides an open-source Java framework with algorithms and index structures for knowledge discovery.
About ELKI
ELKI is a Java-based data mining software for research, with emphasis on unsupervised methods for cluster analysis and outlier detection. It provides data index structures such as the R*-tree and a collection of highly parameterizable algorithms for evaluation and benchmarking.
Algorithms and data management are kept separate, and the framework works with different data types, distance or similarity measures, and file formats. It is designed to be extended by researchers and students, and is distributed under the AGPLv3 license with source code.
Key features
- Cluster analysis and outlier detection algorithms in Java
- Data index structures such as R*-tree for scalability
- Highly parameterizable algorithms for evaluation and benchmarking
- Support for arbitrary data types, distances and file formats
- Separation of algorithms and data management tasks
- Available via download, GitHub and Maven with source code
Best for: Researchers and students working on clustering, outlier detection, and algorithm evaluation.
Good for
- Source code available under AGPLv3 license
- Collection of parameterizable algorithms for evaluation and benchmarking
- Works with different data types, distances and file formats
Watch out for
- Focused on unsupervised methods such as clustering and outlier detection
- Scientific publications using ELKI are asked to cite the release publication
- Cross-platform benchmarking is discouraged because results can mislead
ELKI at a glance
- Website
- elki-project.github.io
- Category
- Development › Developer Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Good for
- Researchers, Students
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ELKI FAQ
What license does ELKI use?
ELKI uses the AGPLv3 license, and source code is available for download.
How should ELKI be credited in scientific work?
Cite the publication corresponding to the ELKI release you are using.
How can ELKI be obtained?
Download it from the releases page; it is also available on GitHub and Maven, with an example project to clone.
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