Examples of printStatistics()


Examples of image.processing.algorithms.clustering.kmeans.AlgoHierarchicalClustering.printStatistics()

    int maxdistance = _k;
   
    // Apply the algorithm
    AlgoHierarchicalClustering algo = new AlgoHierarchicalClustering()// we request 3 clusters
    algo.runAlgorithm(input, maxdistance);
    algo.printStatistics();
    algo.saveToColFile(output);

  }
       
        //Call the hierarchical clustering algorithm on the feature data
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Examples of image.processing.algorithms.clustering.kmeans.AlgoHierarchicalClustering.printStatistics()

    int maxdistance = _k;
   
    // Apply the algorithm
    AlgoHierarchicalClustering algo = new AlgoHierarchicalClustering()// we request 3 clusters
    algo.runAlgorithm(input, maxdistance);
    algo.printStatistics();
    algo.saveToFeatFile(output);

  }
       
        //Call the hierarchical clustering algorithm on the combined data
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Examples of image.processing.algorithms.clustering.kmeans.AlgoHierarchicalClustering.printStatistics()

    double maxdistance = _k;
   
    // Apply the algorithm
    AlgoHierarchicalClustering algo = new AlgoHierarchicalClustering()// we request 3 clusters
    algo.runAlgorithm(input, maxdistance);
    algo.printStatistics();
    algo.saveToCombFile(output);

  }
   
  public static void kMeansColour(int _k) throws NumberFormatException, IOException{
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Examples of image.processing.algorithms.clustering.kmeans.AlgoKMeansCol.printStatistics()

    int k = _k;
               
    // Apply the algorithm for colour
    AlgoKMeansCol algoKMeans = new AlgoKMeansCol();
    algoKMeans.runAlgorithm(input, k);
    algoKMeans.printStatistics();
    algoKMeans.saveToFile(output);
               
                //Reenable button
                Interface.clusterButton.setEnabled(true);
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Examples of image.processing.algorithms.clustering.kmeans.AlgoKMeansFeat.printStatistics()

    int k = _k;
               
    // Apply the algorithm for colour
    AlgoKMeansFeat algoKMeans = new AlgoKMeansFeat();
    algoKMeans.runAlgorithm(input, 3);
    algoKMeans.printStatistics();
    algoKMeans.saveToFile(output);
               
                //Reenable button
                Interface.clusterButton.setEnabled(true);
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