Package de.lmu.ifi.dbs.elki.algorithm.outlier

Outlier detection algorithms

See: Description

Interface Summary

Interface	Description
OutlierAlgorithm	Generic super interface for outlier detection algorithms.

Class Summary

Class	Description
ABOD<V extends NumberVector<?>>	Angle-Based Outlier Detection / Angle-Based Outlier Factor.
ABOD.Parameterizer<V extends NumberVector<?>>	Parameterization class.
AbstractAggarwalYuOutlier<V extends NumberVector<?>>	Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.
AbstractAggarwalYuOutlier.Parameterizer	Parameterization class.
AbstractDBOutlier<O,D extends Distance<D>>	Simple distance based outlier detection algorithms.
AbstractDBOutlier.Parameterizer<O,D extends Distance<D>>	Parameterization class.
AggarwalYuEvolutionary<V extends NumberVector<?>>	EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data.
AggarwalYuEvolutionary.Individuum	Individuum for the evolutionary search.
AggarwalYuEvolutionary.Parameterizer<V extends NumberVector<?>>	Parameterization class.
AggarwalYuNaive<V extends NumberVector<?>>	BruteForce provides a naive brute force algorithm in which all k-subsets of dimensions are examined and calculates the sparsity coefficient to find outliers.
AggarwalYuNaive.Parameterizer<V extends NumberVector<?>>	Parameterization class.
COP<V extends NumberVector<?>,D extends NumberDistance<D,?>>	Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspaces Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek Outlier Detection in Arbitrarily Oriented Subspaces in: Proc.
COP.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>	Parameterization class.
DBOutlierDetection<O,D extends Distance<D>>	Simple distanced based outlier detection algorithm.
DBOutlierDetection.Parameterizer<O,D extends Distance<D>>	Parameterization class.
DBOutlierScore<O,D extends Distance<D>>	Compute percentage of neighbors in the given neighborhood with size d.
DBOutlierScore.Parameterizer<O,D extends Distance<D>>	Parameterization class.
DWOF<O,D extends NumberDistance<D,?>>	Algorithm to compute dynamic-window outlier factors in a database based on a specified parameter DWOF.Parameterizer.K_ID (-dwof.k).
DWOF.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.
EMOutlier<V extends NumberVector<?>>	outlier detection algorithm using EM Clustering.
EMOutlier.Parameterizer<V extends NumberVector<?>>	Parameterization class.
FastABOD<V extends NumberVector<?>>	Angle-Based Outlier Detection / Angle-Based Outlier Factor.
FastABOD.Parameterizer<V extends NumberVector<?>>	Parameterization class.
GaussianModel<V extends NumberVector<?>>	Outlier have smallest GMOD_PROB: the outlier scores is the probability density of the assumed distribution.
GaussianModel.Parameterizer<V extends NumberVector<?>>	Parameterization class.
GaussianUniformMixture<V extends NumberVector<?>>	Outlier detection algorithm using a mixture model approach.
GaussianUniformMixture.Parameterizer<V extends NumberVector<?>>	Parameterization class.
HilOut<O extends NumberVector<?>>	Fast Outlier Detection in High Dimensional Spaces Outlier Detection using Hilbert space filling curves Reference: F.
HilOut.HilFeature	Hilbert representation of a single object.
HilOut.Parameterizer<O extends NumberVector<?>>	Parameterization class
KNNOutlier<O,D extends NumberDistance<D,?>>	Outlier Detection based on the distance of an object to its k nearest neighbor.
KNNOutlier.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.
KNNWeightOutlier<O,D extends NumberDistance<D,?>>	Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.
KNNWeightOutlier.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.
LBABOD<V extends NumberVector<?>>	Angle-Based Outlier Detection / Angle-Based Outlier Factor.
LBABOD.Parameterizer<V extends NumberVector<?>>	Parameterization class.
ODIN<O,D extends Distance<D>>	Outlier detection based on the in-degree of the kNN graph.
ODIN.Parameterizer<O,D extends Distance<D>>	Parameterization class.
OPTICSOF<O,D extends NumberDistance<D,?>>	OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database.
OPTICSOF.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.
ReferenceBasedOutlierDetection<V extends NumberVector<?>,D extends NumberDistance<D,?>>	provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
ReferenceBasedOutlierDetection.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>	Parameterization class.
SimpleCOP<V extends NumberVector<?>,D extends NumberDistance<D,?>>	Algorithm to compute local correlation outlier probability.
SimpleCOP.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>	Parameterization class.

Enum Summary

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

Package de.lmu.ifi.dbs.elki.algorithm.outlier Description

Outlier detection algorithms

See Also:

de.lmu.ifi.dbs.elki.algorithm