Package elki.application.greedyensemble
Greedy ensembles for outlier detection.
This package contains code used for the greedy ensemble experiment in
Erich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel
On Evaluation of Outlier Rankings and Outlier Scores
Proc. 12th SIAM Int. Conf. on Data Mining (SDM 2012)
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Class Summary Class Description ComputeKNNOutlierScores<O extends NumberVector> Application that runs a series of kNN-based algorithms on a data set, for building an ensemble in a second step.ComputeKNNOutlierScores.Par<O extends NumberVector> Parameterization class.EvaluatePrecomputedOutlierScores Class to load an outlier detection summary file, as produced byComputeKNNOutlierScores
, and compute popular evaluation metrics.EvaluatePrecomputedOutlierScores.Par Parameterization class.GreedyEnsembleExperiment Class to load an outlier detection summary file, as produced byComputeKNNOutlierScores
, and compute a naive ensemble for it.GreedyEnsembleExperiment.Par Parameterization class.VisualizePairwiseGainMatrix Class to load an outlier detection summary file, as produced byComputeKNNOutlierScores
, and compute a matrix with the pairwise gains.VisualizePairwiseGainMatrix.Par Parameterization class. -
Enum Summary Enum Description GreedyEnsembleExperiment.Distance Distance modes. -
Exception Summary Exception Description ComputeKNNOutlierScores.TimeoutException Exception used in timeout logic.