Package org.apache.mahout.common.distance

Examples of org.apache.mahout.common.distance.DistanceMeasure

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    clusterDumper.printClusters(termDictionary);
  }
 
  // @Test
  public void testKmeansDSVD2() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
    Path output = getTestTempDirPath("output");
    Path tmp = getTestTempDirPath("tmp");
    DistributedLanczosSolver solver = new DistributedLanczosSolver();
    Configuration config = new Configuration();
    solver.setConf(config);
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  }
 
  public static void main(String[] args) throws Exception {
    t1 = 1.5;
    t2 = 0.5;
    DistanceMeasure measure = new EuclideanDistanceMeasure();
    IKernelProfile kernelProfile = new TriangularKernelProfile();
    significance = 0.02;
   
    Path samples = new Path("samples");
    Path output = new Path("output");
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    plotSampleData((Graphics2D) g);
    plotClusters((Graphics2D) g);
  }
 
  public static void main(String[] args) throws Exception {
    DistanceMeasure measure = new ManhattanDistanceMeasure();
   
    Path samples = new Path("samples");
    Path output = new Path("output");
    Configuration conf = new Configuration();
    HadoopUtil.delete(conf, samples);
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        "coefficient normalization factor, must be greater than 1")
        .withShortName(M_OPTION).create());
    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
      HadoopUtil.delete(getConf(), output);
    }
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    run(getConf(), input, output, measure, t1, t2, maxIterations, fuzziness,
        convergenceDelta);
    return 0;
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    int maxIterations = Integer
        .parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION));
    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
      HadoopUtil.delete(getConf(), output);
    }
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
    if (hasOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION)) {
      int k = Integer
          .parseInt(getOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION));
      run(getConf(), input, output, measure, k, convergenceDelta, maxIterations);
    } else {
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    String kernelProfileClass = getOption(DefaultOptionCreator.KERNEL_PROFILE_OPTION);
    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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      HadoopUtil.delete(new Configuration(), output);
    }
    String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);

    run(input, output, measure, t1, t2);
    return 0;
  }
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    String distanceMeasureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION));
    boolean runSequential = getOption(DefaultOptionCreator.METHOD_OPTION).equalsIgnoreCase(
        DefaultOptionCreator.SEQUENTIAL_METHOD);
    ClassLoader ccl = Thread.currentThread().getContextClassLoader();
    DistanceMeasure measure = ccl.loadClass(distanceMeasureClass).asSubclass(DistanceMeasure.class).newInstance();

    run(getConf(), input, null, output, measure, maxIterations, runSequential);
    return 0;
  }
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    }
    String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    ClassLoader ccl = Thread.currentThread().getContextClassLoader();
    DistanceMeasure measure = (DistanceMeasure) ((Class<?>) ccl.loadClass(measureClass)).newInstance();

    run(input, output, measure, t1, t2);
    return 0;
  }
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    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
      HadoopUtil.overwriteOutput(output);
    }
    ClassLoader ccl = Thread.currentThread().getContextClassLoader();
    Class<?> cl = ccl.loadClass(measureClass);
    DistanceMeasure measure = (DistanceMeasure) cl.newInstance();
    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    run(getConf(), input, output, measure, t1, t2, convergenceDelta, maxIterations);
    return 0;
  }
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Related Classes of org.apache.mahout.common.distance.DistanceMeasure

  • mia.clustering.ch10.InterClusterDistances
  • org.apache.mahout.clustering.canopy.CanopyConfigKeys
  • org.apache.mahout.clustering.canopy.CanopyDriver
  • org.apache.mahout.clustering.cdbw.TestCDbwEvaluator
  • org.apache.mahout.clustering.classify.ClusterClassificationDriver
  • org.apache.mahout.clustering.classify.ClusterClassificationMapper
  • org.apache.mahout.clustering.ClusteringUtils
  • org.apache.mahout.clustering.dirichlet.DirichletDriver
  • org.apache.mahout.clustering.dirichlet.models.DistributionDescription
  • org.apache.mahout.clustering.display.DisplayFuzzyKMeans
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