Package org.apache.mahout.common.kernel

Examples of org.apache.mahout.common.kernel.IKernelProfile

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    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION));
    int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION));
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
    IKernelProfile kernelProfile = ClassUtils.instantiateAs(kernelProfileClass, IKernelProfile.class);
    run(getConf(), input, output, measure, kernelProfile, t1, t2, convergenceDelta, maxIterations);
    return 0;
  }
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  @Test
  public void testMeanShift() throws Exception {
    ClusteringTestUtils.writePointsToFile(sampleData, getTestTempFilePath("testdata/file1"), fs, conf);
    DistanceMeasure measure = new EuclideanDistanceMeasure();
    IKernelProfile kernelProfile = new TriangularKernelProfile();
    MeanShiftCanopyDriver.run(conf, testdata, output, measure, kernelProfile, 2.1, 1.0, 0.001, 10, false, true, true);
    int numIterations = 10;
    Path clustersIn = new Path(output, "clusters-2");
    RepresentativePointsDriver.run(conf, clustersIn, new Path(output, "clusteredPoints"), output, measure,
        numIterations, true);
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Related Classes of org.apache.mahout.common.kernel.IKernelProfile

  • org.apache.mahout.clustering.cdbw.TestCDbwEvaluator
  • org.apache.mahout.clustering.display.DisplayMeanShift
  • org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
  • org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
  • org.apache.mahout.clustering.TestClusterDumper
  • org.apache.mahout.clustering.TestClusterEvaluator
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