Examples of CanopyClusteringPolicy

org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
This is a simple maximum likelihood clustering policy, suitable for k-means clustering

Examples of org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

      Boolean runSequential) throws IOException, InterruptedException,
      ClassNotFoundException {
    CanopyDriver.run(conf, pointsPath, clusteringOutputPath,
        new ManhattanDistanceMeasure(), 3.1, 2.1, false, 0.0, runSequential);
    Path finalClustersPath = new Path(clusteringOutputPath, "clusters-0-final");
    ClusterClassifier.writePolicy(new CanopyClusteringPolicy(),
        finalClustersPath);
  }

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Examples of org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

                                  Path canopies,
                                  Path output,
                                  double clusterClassificationThreshold,
                                  boolean runSequential)
    throws IOException, InterruptedException, ClassNotFoundException {
    ClusterClassifier.writePolicy(new CanopyClusteringPolicy(), canopies);
    ClusterClassificationDriver.run(conf, points, output, new Path(output, PathDirectory.CLUSTERED_POINTS_DIRECTORY),
                                    clusterClassificationThreshold, true, runSequential);
  }

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Examples of org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

      Boolean runSequential) throws IOException, InterruptedException,
      ClassNotFoundException {
    CanopyDriver.run(conf, pointsPath, clusteringOutputPath,
        new ManhattanDistanceMeasure(), 3.1, 2.1, false, 0.0, runSequential);
    Path finalClustersPath = new Path(clusteringOutputPath, "clusters-0-final");
    ClusterClassifier.writePolicy(new CanopyClusteringPolicy(),
        finalClustersPath);
  }

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Examples of org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

  }


  private static void clusterData(Configuration conf, Path points, Path canopies, Path output,
      double clusterClassificationThreshold, boolean runSequential) throws IOException, InterruptedException,
      ClassNotFoundException {
    ClusterClassifier.writePolicy(new CanopyClusteringPolicy(), canopies);
    ClusterClassificationDriver.run(points, output, new Path(output, CLUSTERED_POINTS_DIRECTORY),
        clusterClassificationThreshold, true, runSequential);
  }

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Examples of org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

      Boolean runSequential) throws IOException, InterruptedException,
      ClassNotFoundException {
    CanopyDriver.run(conf, pointsPath, clusteringOutputPath,
        new ManhattanDistanceMeasure(), 3.1, 2.1, false, 0.0, runSequential);
    Path finalClustersPath = new Path(clusteringOutputPath, "clusters-0-final");
    ClusterClassifier.writePolicy(new CanopyClusteringPolicy(),
        finalClustersPath);
  }

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Examples of org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

                                  Path canopies,
                                  Path output,
                                  double clusterClassificationThreshold,
                                  boolean runSequential)
    throws IOException, InterruptedException, ClassNotFoundException {
    ClusterClassifier.writePolicy(new CanopyClusteringPolicy(), canopies);
    ClusterClassificationDriver.run(conf, points, output, new Path(output, PathDirectory.CLUSTERED_POINTS_DIRECTORY),
                                    clusterClassificationThreshold, true, runSequential);
  }

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