Examples of KMeansClusteringPolicy

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

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

    List<Cluster> initialClusters = Lists.newArrayList();
    int id = 0;
    for (Vector point : points) {
      initialClusters.add(new org.apache.mahout.clustering.kmeans.Kluster(point, id++, measure));
    }
    ClusterClassifier prior = new ClusterClassifier(initialClusters, new KMeansClusteringPolicy(convergenceDelta));
    Path priorPath = new Path(output, Cluster.INITIAL_CLUSTERS_DIR);
    prior.writeToSeqFiles(priorPath);
    
    int maxIter = 10;
    new ClusterIterator().iterateSeq(conf, samples, priorPath, output, maxIter);

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

    if (clusters.isEmpty()) {
      throw new IllegalStateException("No input clusters found in " + clustersIn + ". Check your -c argument.");
    }
    
    Path priorClustersPath = new Path(output, Cluster.INITIAL_CLUSTERS_DIR);
    ClusteringPolicy policy = new KMeansClusteringPolicy(convergenceDelta);
    ClusterClassifier prior = new ClusterClassifier(clusters, policy);
    prior.writeToSeqFiles(priorClustersPath);
    
    if (runSequential) {
      ClusterIterator.iterateSeq(conf, input, priorClustersPath, output, maxIterations);

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

    
    if (log.isInfoEnabled()) {
      log.info("Running Clustering");
      log.info("Input: {} Clusters In: {} Out: {}", input, clustersIn, output);
    }
    ClusterClassifier.writePolicy(new KMeansClusteringPolicy(), clustersIn);
    ClusterClassificationDriver.run(conf, input, output, new Path(output, PathDirectory.CLUSTERED_POINTS_DIRECTORY),
        clusterClassificationThreshold, true, runSequential);
  }

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