| 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.
|
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