// TRAIN
Clustering training = sampleClustering(alphabet);
Pipe clusterPipe = new OverlappingFeaturePipe();
System.err.println("Training with " + training);
InstanceList trainList = new InstanceList(clusterPipe);
trainList.addThruPipe(new ClusterSampleIterator(training, random, 0.5, 100));
System.err.println("Created " + trainList.size() + " instances.");
Classifier me = new MaxEntTrainer().train(trainList);
ClassifyingNeighborEvaluator eval =
new ClassifyingNeighborEvaluator(me, "YES");