generateSamples(40, 1, 1, 3, 3);
generateSamples(30, 1, 0, 0.1, 3);
generateSamples(30, 0, 1, 0.1, 3);
DirichletClusterer<VectorWritable> dc = new DirichletClusterer<VectorWritable>(
sampleData, new AsymmetricSampledNormalDistribution(new VectorWritable(
new DenseVector(3))), 1.0, 10, 1, 0);
List<Model<VectorWritable>[]> result = dc.cluster(30);
printResults(result, 2);
assertNotNull(result);
}