*
* @throws Exception
*/
public void testKMeansReducer() throws Exception {
KMeansMapper mapper = new KMeansMapper();
EuclideanDistanceMeasure euclideanDistanceMeasure = new EuclideanDistanceMeasure();
Cluster.config(euclideanDistanceMeasure, 0.001);
List<Vector> points = getPoints(reference);
for (int k = 0; k < points.size(); k++) {
System.out.println("K = " + k);
// pick k initial cluster centers at random