Package org.apache.mahout.clustering.iterator

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

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    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) {
      new ClusterIterator().iterateSeq(conf, input, priorClustersPath, output, maxIterations);
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    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 FuzzyKMeansClusteringPolicy(m, convergenceDelta);
    ClusterClassifier prior = new ClusterClassifier(clusters, policy);
    prior.writeToSeqFiles(priorClustersPath);
   
    if (runSequential) {
      new ClusterIterator().iterateSeq(conf, input, priorClustersPath, output, maxIterations);
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    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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    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 FuzzyKMeansClusteringPolicy(m, convergenceDelta);
    ClusterClassifier prior = new ClusterClassifier(clusters, policy);
    prior.writeToSeqFiles(priorClustersPath);
   
    if (runSequential) {
      ClusterIterator.iterateSeq(conf, input, priorClustersPath, output, maxIterations);
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Related Classes of org.apache.mahout.clustering.iterator.ClusteringPolicy

  • org.apache.mahout.clustering.classify.ClusterClassificationDriver
  • org.apache.mahout.clustering.classify.ClusterClassificationMapper
  • org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  • org.apache.mahout.clustering.kmeans.KMeansDriver
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