Constructor Detail

• ClusterEvaluator

  public ClusterEvaluator()

  Creates a new cluster evaluator with an EuclideanDistance as distance measure.

• ClusterEvaluator

  public ClusterEvaluator(DistanceMeasure measure)

  Creates a new cluster evaluator with the given distance measure.

  Parameters:

  measure - the distance measure to use

Method Detail

• score

  public abstract double score(List<? extends Cluster<T>> clusters)

  Computes the evaluation score for the given list of clusters.

  Parameters:

  clusters - the clusters to evaluate

  Returns:

  the computed score

• isBetterScore

  public boolean isBetterScore(double score1,
                      double score2)

  Returns whether the first evaluation score is considered to be better than the second one by this evaluator.

  Specific implementations shall override this method if the returned scores do not follow the same ordering, i.e. smaller score is better.

  Parameters:

  score1 - the first score

  score2 - the second score

  Returns:

  true if the first score is considered to be better, false otherwise

• distance

  protected double distance(Clusterable p1,
                Clusterable p2)

  Calculates the distance between two Clusterable instances with the configured DistanceMeasure.

  Parameters:

  p1 - the first clusterable

  p2 - the second clusterable

  Returns:

  the distance between the two clusterables

• centroidOf

  protected Clusterable centroidOf(Cluster<T> cluster)

  Computes the centroid for a cluster.

  Parameters:

  cluster - the cluster

  Returns:

  the computed centroid for the cluster, or null if the cluster does not contain any points