You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Lightweight Java implementation of density-based clustering algorithm DBSCAN
3
3
4
-
## Building
4
+
## Download/Building
5
+
6
+
You can download the latest jar file from the releases page.
5
7
6
8
To build the library, you can either compile the sources manually or use maven (`mvn package`).
7
9
8
10
## Usage
9
11
10
-
* Implement a distance metric for the data type to be clustered (using the interface `DistanceMetric`).
12
+
* 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).
11
13
* Instantiate `DBSCANClusterer`.
12
-
* Invoke `performClustering()`.
14
+
* Invoke `performClustering()` to retrieve the clustered inputs. See tests for examples.
0 commit comments