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