Package de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Examples of de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScalingFunction

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   * @return Outlier score result
   * @throws IllegalStateException
   */
  protected ScoreResult computeScore(DBIDs ids, DBIDs outlierIds, OutlierResult or) throws IllegalStateException {
    if(scaling instanceof OutlierScalingFunction) {
      OutlierScalingFunction oscaling = (OutlierScalingFunction) scaling;
      oscaling.prepare(or);
    }

    final ScalingFunction innerScaling;
    // If we have useful (finite) min/max, use these for binning.
    double min = scaling.getMin();
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   * @param or Outlier result
   * @return Result
   */
  public HistogramResult<DoubleVector> evaluateOutlierResult(Database database, OutlierResult or) {
    if(scaling instanceof OutlierScalingFunction) {
      OutlierScalingFunction oscaling = (OutlierScalingFunction) scaling;
      oscaling.prepare(or);
    }

    ModifiableDBIDs ids = DBIDUtil.newHashSet(or.getScores().getDBIDs());
    DBIDs outlierIds = DatabaseUtil.getObjectsByLabelMatch(database, positiveClassName);
    // first value for outliers, second for each object
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   * @param or Outlier result
   * @return Result
   */
  public HistogramResult<DoubleVector> evaluateOutlierResult(Database database, OutlierResult or) {
    if(scaling instanceof OutlierScalingFunction) {
      OutlierScalingFunction oscaling = (OutlierScalingFunction) scaling;
      oscaling.prepare(or);
    }

    ModifiableDBIDs ids = DBIDUtil.newHashSet(or.getScores().getDBIDs());
    DBIDs outlierIds = DatabaseUtil.getObjectsByLabelMatch(database, positiveClassName);
    // first value for outliers, second for each object
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   * @return Outlier score result
   * @throws IllegalStateException
   */
  protected ScoreResult computeScore(DBIDs ids, DBIDs outlierIds, OutlierResult or) throws IllegalStateException {
    if(scaling instanceof OutlierScalingFunction) {
      OutlierScalingFunction oscaling = (OutlierScalingFunction) scaling;
      oscaling.prepare(or);
    }

    final ScalingFunction innerScaling;
    // If we have useful (finite) min/max, use these for binning.
    double min = scaling.getMin();
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Related Classes of de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScalingFunction

  • de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram
  • de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores
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