Lightweight Java implementation of density-based clustering algorithm DBSCAN

You can download the latest jar file from the releases page.

To build the library, you can either compile the sources manually or use maven (mvn package).

• Implement a distance metric for the data type to be clustered (using the interface org.christopherfrantz.dbscan.DistanceMetric; for an example see the implementation org.christopherfrantz.dbscan.metrics.DistanceMetricNumbers or consult the tests).
• Instantiate DBSCANClusterer.
• Invoke performClustering() to retrieve the clustered inputs. See tests for examples.