How to use weka.clusterers

 /**
  * Test method for this class
  * 
  * @param args the commandline options
  */
 public static void main(String[] args) {
  runCheck(new CheckClusterer(), args);
 }
}

 /**
  * Main method.
  * 
  * @param argv the commandline options
  */
 public static void main(String[] argv) {
  runClusterer(new Cobweb(), argv);
 }
}

public void updateFinished() {
 if (m_canopy != null && !m_finalized) {
  m_canopy.updateFinished();
  m_finalized = true;
 }
}

/**
 * Initialize with the fartherst first centers
 * 
 * @param data the training data
 * @throws Exception if a problem occurs
 */
protected void farthestFirstInit(Instances data) throws Exception {
 FarthestFirst ff = new FarthestFirst();
 ff.setNumClusters(m_NumClusters);
 ff.buildClusterer(data);
 m_ClusterCentroids = ff.getClusterCentroids();
}

 /**
  * Main method for testing this class.
  * 
  * @param argv should contain the following arguments:
  *          <p>
  *          -t training file [-T test file] [-N number of clusters] [-S random
  *          seed]
  */
 public static void main(String[] argv) {
  runClusterer(new EM(), argv);
 }
}

/** Creates a default Cobweb */
public Clusterer getClusterer() {
 Cobweb cb = new Cobweb();
 cb.setSeed(-1); // Make sure data is not randomized in buildClassifier() (incremental == batch)
 return cb;
}

/**
 * tests whether the scheme declares a serialVersionUID.
 */
public void testSerialVersionUID() {
 boolean[]     result;
 result = m_Tester.declaresSerialVersionUID();
 if (!result[0])
  fail("Doesn't declare serialVersionUID!");
}

 /**
  * Main method for testing this class.
  * 
  * @param argv should contain the following arguments:
  *          <p>
  *          -t training file [-N number of clusters]
  */
 public static void main(String[] argv) {
  runClusterer(new FarthestFirst(), argv);
 }
}

 /**
  * Main method for testing this class.
  * 
  * @param args the commandline options, use "-h" for help
  */
 public static void main(String[] args) {
  runClusterer(new FilteredClusterer(), args);
 }
}

/**
 * default constructor
 */
public Cobweb() {
 super();
 m_SeedDefault = 42;
 setSeed(m_SeedDefault);
}

/**
 * the default constructor.
 */
public SimpleKMeans() {
 super();
 m_SeedDefault = 10;
 setSeed(m_SeedDefault);
}

 /**
  * Get the number of clusters from the base clusterer
  *
  * @return the number of clusters
  * @throws Exception if a problem occurs
  */
 public int numberOfClusters() throws Exception {
  return m_model.numberOfClusters();
 }
}

/**
 * Returns the tip text for this property
 * 
 * @return tip text for this property suitable for displaying in the
 *         explorer/experimenter gui
 */
@Override
public String seedTipText() {
 String result = super.seedTipText() + " Use -1 for no randomization.";
 return result;
}

/**
 * Constructor.
 * 
 **/
public EM() {
 super();
 m_SeedDefault = 100;
 resetOptions();
}

 @Override
 public double[] call() {
  return moveCentroid(m_centroidIndex, m_cluster, true, false);
 }
}

/**
 * Contructs a MakeDensityBasedClusterer wrapping a given Clusterer.
 * 
 * @param toWrap the clusterer to wrap around
 */
public MakeDensityBasedClusterer(Clusterer toWrap) {
 setClusterer(toWrap);
}

/**
 * Initialize with the fartherst first centers
 * 
 * @param data the training data
 * @throws Exception if a problem occurs
 */
protected void farthestFirstInit(Instances data) throws Exception {
 FarthestFirst ff = new FarthestFirst();
 ff.setNumClusters(m_NumClusters);
 ff.buildClusterer(data);
 m_ClusterCentroids = ff.getClusterCentroids();
}

 /**
  * Main method for testing this class.
  * 
  * @param argv should contain the following arguments:
  *          <p>
  *          -t training file [-T test file] [-N number of clusters] [-S random
  *          seed]
  */
 public static void main(String[] argv) {
  runClusterer(new EM(), argv);
 }
}

/**
 * tests whether the scheme declares a serialVersionUID.
 */
public void testSerialVersionUID() {
 boolean[]     result;
 result = m_Tester.declaresSerialVersionUID();
 if (!result[0])
  fail("Doesn't declare serialVersionUID!");
}

/**
 * Returns the tip text for this property
 * 
 * @return tip text for this property suitable for displaying in the
 *         explorer/experimenter gui
 */
@Override
public String seedTipText() {
 String result = super.seedTipText() + " Use -1 for no randomization.";
 return result;
}