chrfrantz / DBSCAN

Lightweight Java implementation of density-based clustering algorithm DBSCAN

DBSCAN

Lightweight Java implementation of density-based clustering algorithm DBSCAN

Download/Building

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).

Usage

• 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.