Package elki.outlier.subspace

Subspace outlier detection methods.

Methods that detect outliers in subspaces (projections) of the data set.

Class Summary

Class	Description
AbstractAggarwalYuOutlier	Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.
AbstractAggarwalYuOutlier.Par	Parameterization class.
AggarwalYuEvolutionary	Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
AggarwalYuEvolutionary.Individuum	Individuum for the evolutionary search.
AggarwalYuEvolutionary.Par	Parameterization class.
AggarwalYuNaive	BruteForce variant of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
AggarwalYuNaive.Par	Parameterization class.
OutRankS1	OutRank: ranking outliers in high dimensional data.
OutRankS1.Par	Parameterization class.
OUTRES	Adaptive outlierness for subspace outlier ranking (OUTRES).
OUTRES.KernelDensityEstimator	Kernel density estimation and utility class.
OUTRES.Par	Parameterization class.
SOD<V extends NumberVector>	Subspace Outlier Degree: Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.
SOD.Par<V extends NumberVector>	Parameterization class.
SOD.SODModel	SOD Model class