Package elki.outlier.distance

Distance-based outlier detection algorithms, such as DBOutlier and kNN. For methods based on local density, see package elki.outlier.lof instead.

Class Summary

Class	Description
AbstractDBOutlier<O>	Simple distance based outlier detection algorithms.
AbstractDBOutlier.Par<O>	Parameterization class.
DBOutlierDetection<O>	Simple distanced based outlier detection algorithm.
DBOutlierDetection.Par<O>	Parameterization class.
DBOutlierScore<O>	Compute percentage of neighbors in the given neighborhood with size d.
DBOutlierScore.Par<O>	Parameterization class.
HilOut<O extends NumberVector>	Fast Outlier Detection in High Dimensional Spaces
HilOut.HilFeature	Hilbert representation of a single object.
KNNDD<O>	Nearest Neighbor Data Description.
KNNDD.Par<O>	Parameterization class.
KNNOutlier<O>	Outlier Detection based on the distance of an object to its k nearest neighbor.
KNNOutlier.Par<O>	Parameterization class.
KNNSOS<O>	kNN-based adaption of Stochastic Outlier Selection.
KNNWeightOutlier<O>	Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.
KNNWeightOutlier.Par<O>	Parameterization class.
LocalIsolationCoefficient<O>	The Local Isolation Coefficient is the sum of the kNN distance and the average distance to its k nearest neighbors.
LocalIsolationCoefficient.Par<O>	Parameterization class.
ODIN<O>	Outlier detection based on the in-degree of the kNN graph.
ReferenceBasedOutlierDetection	Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
ReferenceBasedOutlierDetection.Par	Parameterization class.
SOS<O>	Stochastic Outlier Selection.

Enum Summary

Enum	Description
HilOut.ScoreType	Type of output: all scores (upper bounds) or top n only