Examples of org.apache.mahout.clustering.iterator.ClusterIterator.iterate()

Package org.apache.mahout.clustering.iterator

Class org.apache.mahout.clustering.iterator.ClusterIterator

Examples of org.apache.mahout.clustering.iterator.ClusterIterator.iterate()

org.apache.mahout.clustering.iterator.ClusterIterator.iterate()
Iterate over data using a prior-trained ClusterClassifier, for a number of iterations @param data a {@code List} of input vectors @param classifier a prior ClusterClassifier @param numIterations the int number of iterations to perform @return the posterior ClusterClassifier

      models.add((Cluster) cluster);
    }
    
    ClusterIterator iterator = new ClusterIterator();
    ClusterClassifier classifier = new ClusterClassifier(models, new DirichletClusteringPolicy(15, 1.0));
    ClusterClassifier posterior = iterator.iterate(sampleData, classifier, 10);
    
    printClusters(posterior.getModels(), DOCS);
  }
  
  @Test

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      models.add((Cluster) cluster);
    }
    
    ClusterIterator iterator = new ClusterIterator();
    ClusterClassifier classifier = new ClusterClassifier(models, new DirichletClusteringPolicy(15, 1.0));
    ClusterClassifier posterior = iterator.iterate(sampleData, classifier, 10);
    
    printClusters(posterior.getModels(), DOCS);
  }
  
  @Test

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      models.add((Cluster) cluster);
    }
    
    ClusterIterator iterator = new ClusterIterator();
    ClusterClassifier classifier = new ClusterClassifier(models, new DirichletClusteringPolicy(15, 1.0));
    ClusterClassifier posterior = iterator.iterate(sampleData, classifier, 10);
    
    printClusters(posterior.getModels(), DOCS2);
  }
  
  @Test

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      models.add((Cluster) cluster);
    }
    
    ClusterIterator iterator = new ClusterIterator();
    ClusterClassifier classifier = new ClusterClassifier(models, new DirichletClusteringPolicy(15, 1.0));
    ClusterClassifier posterior = iterator.iterate(sampleData, classifier, 10);
    
    printClusters(posterior.getModels(), DOCS2);
  }
  
}

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