Package org.apache.mahout.utils.clustering

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

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    KMeansDriver.run(conf, getTestTempDirPath("testdata"), initialPoints, kmeansOutput, 0.001, 10, true, 0.0, false);
    // Print out clusters
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(kmeansOutput, "clusteredPoints"));
    clusterDumper.setOutputFormat(ClusterDumper.OUTPUT_FORMAT.JSON);
    clusterDumper.printClusters(termDictionary);
  }

  @Test
  public void testFuzzyKmeans() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
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    FuzzyKMeansDriver.run(conf, getTestTempDirPath("testdata"), initialPoints, kMeansOutput, 0.001, 10, 1.1f, true,
        true, 0, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(kMeansOutput, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }
}
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    CanopyDriver.run(new Configuration(), directoryContainingConvertedInput,
        output, measure, t1, t2, true, 0.0, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(new Path(output,
        "clusters-0-final"), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }

  @Override
  public int run(String[] args) throws Exception {
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