Java Machine Learning Library (Java-ML)

Clustering algorithms from Weka can be accessed in Java-ML through the WekeClusterer bridge. This class makes it easy to use a clustering algorithm from Weka in Java-ML.

In the example below, we load the iris dataset, we create a clusterer from Weka (XMeans), we wrap it in the bridge and use the bridge to do the clustering.

/* Load data */
Dataset data = FileHandler.loadDataset(new File("iris.data"), 4, ",");
/* Create Weka classifier */
XMeans xm = new XMeans();
/* Wrap Weka clusterer in bridge */
Clusterer jmlxm = new WekaClusterer(xm);
/* Perform clustering */
Dataset[] clusters = jmlxm.cluster(data);
/* Output results */
System.out.println(clusters.length);