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# DBSCAN
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Lightweight Java implementation of density-based clustering algorithm DBSCAN
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## Building
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## Download/Building
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You can download the latest jar file from the releases page.
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To build the library, you can either compile the sources manually or use maven (`mvn package`).
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## Usage
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* Implement a distance metric for the data type to be clustered (using the interface `DistanceMetric`).
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* 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).
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* Instantiate `DBSCANClusterer`.
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* Invoke `performClustering()`.
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* Invoke `performClustering()` to retrieve the clustered inputs. See tests for examples.

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