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

image.processing.algorithms.clustering.kmeans.AlgoHierarchicalClustering.runAlgorithm()
Run the algorithm. @param inputFile an input file containing vectors of doubles @param maxDistance the maximum distance allowed for merging two clusters @return a list of Clusters @throws IOException exception if error while reading the file

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


  }

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


  }

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


  }

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