| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier.subspace | 
 Subspace outlier detection methods
 
 Methods that detect outliers in subspaces (projections) of the data set. 
 | 
| Class and Description | 
|---|
| AbstractAggarwalYuOutlier
 Abstract base class for the sparse-grid-cell based outlier detection of
 Aggarwal and Yu. 
 | 
| AbstractAggarwalYuOutlier.Parameterizer
 Parameterization class. 
 | 
| AggarwalYuEvolutionary
 Evolutionary variant (EAFOD) of the high-dimensional outlier detection
 algorithm by Aggarwal and Yu. 
 | 
| AggarwalYuEvolutionary.Individuum
 Individuum for the evolutionary search. 
 | 
| AggarwalYuNaive
 BruteForce variant of the high-dimensional outlier detection algorithm by
 Aggarwal and Yu. 
 | 
| OutRankS1
 OutRank: ranking outliers in high dimensional data. 
 | 
| OUTRES
 Adaptive outlierness for subspace outlier ranking (OUTRES). 
 | 
| OUTRES.KernelDensityEstimator
 Kernel density estimation and utility class. 
 | 
| SOD
 Subspace Outlier Degree. 
 | 
Copyright © 2019 ELKI Development Team. License information.