Uses of Package
Packages that use elki.outlier.distance Package Description elki.outlier.distanceDistance-based outlier detection algorithms, such as DBOutlier and kNN.
Classes in elki.outlier.distance used by elki.outlier.distance Class Description AbstractDBOutlierSimple distance based outlier detection algorithms. AbstractDBOutlier.ParParameterization class. DBOutlierDetectionSimple distanced based outlier detection algorithm. DBOutlierScoreCompute percentage of neighbors in the given neighborhood with size d. HilOutFast Outlier Detection in High Dimensional Spaces HilOut.HilbertFeaturesClass organizing the data points along a hilbert curve. HilOut.HilFeatureHilbert representation of a single object. HilOut.ScoreTypeType of output: all scores (upper bounds) or top n only KNNDDNearest Neighbor Data Description. KNNOutlierOutlier Detection based on the distance of an object to its k nearest neighbor. KNNSOSkNN-based adaption of Stochastic Outlier Selection. KNNWeightOutlierOutlier Detection based on the accumulated distances of a point to its k nearest neighbors. LocalIsolationCoefficientThe Local Isolation Coefficient is the sum of the kNN distance and the average distance to its k nearest neighbors. ODINOutlier detection based on the in-degree of the kNN graph. ReferenceBasedOutlierDetectionReference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points. SOSStochastic Outlier Selection.