Examples of printClusters()

Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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    DirichletDriver.run(conf, getTestTempDirPath("testdata"), output,
        description, 15, 10, 1.0, true, true, 0, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }
 
  @Test
  public void testDirichlet3() throws Exception {
    Path output = getTestTempDirPath("output");
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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    DirichletDriver.run(conf, getTestTempDirPath("testdata"), output,
        description, 15, 10, 1.0, true, true, 0, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }
 
  /*
  @Test
  public void testKmeansSVD() throws Exception {
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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    KMeansDriver.run(conf, directoryContainingConvertedInput, clusters, output,
        measure, convergenceDelta, maxIterations, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }

  /**
   * Run the kmeans clustering job on an input dataset using the given distance
   * measure, t1, t2 and iteration parameters. All output data will be written
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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        Cluster.INITIAL_CLUSTERS_DIR), output, measure, convergenceDelta,
        maxIterations, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }

  /**
   * Return the path to the final iteration's clusters
   */
 
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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                        threshold,
                        false);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(new Path(output, "clusters-" + maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }

  /**
   * Actually prints out the clusters
   *
 
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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                                    true,
                                    true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(new Path(output, "clusters-" + maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }

}
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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    Path output = getTestTempDirPath("output");
    CanopyDriver.run(new Configuration(), getTestTempDirPath("testdata"), output, measure, 8, 4, true, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(new Path(output, "clusters-0"), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
    assertTrue(true);
  }

  @Test
  public void testKmeans() throws Exception {
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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    CanopyDriver.run(conf, getTestTempDirPath("testdata"), output, measure, 8, 4, false, true);
    // now run the KMeans job
    KMeansDriver.run(conf, getTestTempDirPath("testdata"), new Path(output, "clusters-0"), output, measure, 0.001, 10, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  @Test
  public void testFuzzyKmeans() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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                          true,
                          0,
                          true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  @Test
  public void testMeanShift() throws Exception {
    DistanceMeasure measure = new CosineDistanceMeasure();
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Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

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    Path output = getTestTempDirPath("output");
    Configuration conf = new Configuration();
    new MeanShiftCanopyDriver().run(conf, getTestTempDirPath("testdata"), output, measure, 0.5, 0.01, 0.05, 10, false, true, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  @Test
  public void testDirichlet2() throws Exception {
    Path output = getTestTempDirPath("output");
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