elki-project/elki
ELKI is a Java-based data mining framework providing algorithm implementations for clustering, anomaly detection, and outlier analysis.
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ELKI is an open-source data mining toolkit written in Java, designed primarily for research in unsupervised machine learning methods. It offers a large collection of highly parameterizable algorithms for cluster analysis and outlier detection, along with various data index structures like R*-tree to optimize performance and scalability. The framework is designed to be easily extensible for researchers and to facilitate fair benchmarking and evaluation of different algorithms.
Frequently asked
- What is elki-project/elki?
- ELKI is a Java-based data mining framework providing algorithm implementations for clustering, anomaly detection, and outlier analysis.
- Is elki open source?
- Yes — elki-project/elki is open source, released under the AGPL-3.0 license.
- What language is elki written in?
- elki-project/elki is primarily written in Java.
- How popular is elki?
- elki-project/elki has 831 stars on GitHub.
- Where can I find elki?
- elki-project/elki is on GitHub at https://github.com/elki-project/elki.