Class OutlierThresholdClustering

  • All Implemented Interfaces:
    Evaluator, ResultProcessor

    public class OutlierThresholdClustering
    extends java.lang.Object
    implements Evaluator
    Pseudo clustering algorithm that builds clusters based on their outlier score. Useful for transforming a numeric outlier score into a 2-class dataset.
    Since:
    0.5.0
    Author:
    Erich Schubert
    • Field Detail

      • threshold

        double[] threshold
        Thresholds to use
    • Constructor Detail

      • OutlierThresholdClustering

        public OutlierThresholdClustering​(ScalingFunction scaling,
                                          double[] threshold)
        Constructor.
        Parameters:
        scaling - Scaling function
        threshold - Threshold