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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.