Examples of org.apache.mahout.utils.DistanceMeasure

org.apache.mahout.utils.DistanceMeasure
This interface is used for objects which can determine a distance metric between two points

      String distanceMeasureClass, double threshold, int numIter)
      throws Exception {
    ClassLoader ccl = Thread.currentThread().getContextClassLoader();
    Class<?> cl = ccl.loadClass(distanceMeasureClass);


    DistanceMeasure measure = (DistanceMeasure) cl.newInstance();
    SoftCluster.config(measure, threshold);
    boolean converged = false;
    for (int iter = 0; !converged && iter < numIter; iter++) {
      converged = iterateReference(points, clusterList, measure);
    }

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  public void testFuzzyKMeansMapper() throws Exception {
    List<Vector> points = TestKmeansClustering
        .getPoints(TestKmeansClustering.reference);


    DistanceMeasure measure = new EuclideanDistanceMeasure();
    SoftCluster.config(measure, 0.001);


    for (int k = 0; k < points.size(); k++) {
      System.out.println("testKFuzzyKMeansMRJob k= " + k);
      // pick k initial cluster centers at random

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  public void testFuzzyKMeansCombiner() throws Exception {
    List<Vector> points = TestKmeansClustering
        .getPoints(TestKmeansClustering.reference);


    DistanceMeasure measure = new EuclideanDistanceMeasure();
    SoftCluster.config(measure, 0.001);


    for (int k = 0; k < points.size(); k++) {
      System.out.println("testKFuzzyKMeansMRJob k= " + k);
      // pick k initial cluster centers at random

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  public void testFuzzyKMeansReducer() throws Exception {
    List<Vector> points = TestKmeansClustering
        .getPoints(TestKmeansClustering.reference);


    DistanceMeasure measure = new EuclideanDistanceMeasure();
    SoftCluster.config(measure, 0.001);


    for (int k = 0; k < points.size(); k++) {
      System.out.println("testKFuzzyKMeansMRJob k= " + k);
      // pick k initial cluster centers at random

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  public void testFuzzyKMeansClusterMapper() throws Exception {
    List<Vector> points = TestKmeansClustering
        .getPoints(TestKmeansClustering.reference);


    DistanceMeasure measure = new EuclideanDistanceMeasure();
    SoftCluster.config(measure, 0.001);


    for (int k = 0; k < points.size(); k++) {
      System.out.println("testKFuzzyKMeansMRJob k= " + k);
      // pick k initial cluster centers at random

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   * 
   * @throws Exception
   */
  public void testReferenceImplementation() throws Exception {
    List<Vector> points = getPoints(reference);
    DistanceMeasure measure = new EuclideanDistanceMeasure();
    Cluster.config(measure, 0.001);
    // try all possible values of k
    for (int k = 0; k < points.size(); k++) {
      System.out.println("Test k=" + (k + 1) + ':');
      // pick k initial cluster centers at random

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Related Classes of org.apache.mahout.utils.DistanceMeasure

org.apache.mahout.clustering.fuzzykmeans.TestFuzzyKmeansClustering

org.apache.mahout.clustering.kmeans.TestKmeansClustering

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