Uses of Package
de.lmu.ifi.dbs.elki.evaluation.outlier

Packages that use de.lmu.ifi.dbs.elki.evaluation.outlier

Package	Description
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model

Classes in de.lmu.ifi.dbs.elki.evaluation.outlier used by de.lmu.ifi.dbs.elki.evaluation.outlier

Class and Description
ComputeOutlierHistogram Compute a Histogram to evaluate a ranking algorithm.
JudgeOutlierScores Compute a Histogram to evaluate a ranking algorithm.
JudgeOutlierScores.ScoreResult Result object for outlier score judgements.
OutlierPrecisionAtKCurve Compute a curve containing the precision values for an outlier detection method.
OutlierPrecisionRecallCurve Compute a curve containing the precision values for an outlier detection method.
OutlierPrecisionRecallCurve.PRCurve P/R Curve
OutlierRankingEvaluation Evaluate outlier scores by their ranking
OutlierROCCurve Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.
OutlierROCCurve.ROCResult Result object for ROC curves.
OutlierSmROCCurve Smooth ROC curves are a variation of classic ROC curves that takes the scores into account.
OutlierSmROCCurve.SmROCResult Result object for Smooth ROC curves.
OutlierThresholdClustering Pseudo clustering algorithm that builds clusters based on their outlier score.