| AbstractDBOutlier |
Simple distance based outlier detection algorithms.
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| AbstractDBOutlier.Par |
Parameterization class.
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| DBOutlierDetection |
Simple distanced based outlier detection algorithm.
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| DBOutlierScore |
Compute percentage of neighbors in the given neighborhood with size d.
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| HilOut |
Fast Outlier Detection in High Dimensional Spaces
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| HilOut.HilbertFeatures |
Class organizing the data points along a hilbert curve.
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| HilOut.HilFeature |
Hilbert representation of a single object.
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| HilOut.ScoreType |
Type of output: all scores (upper bounds) or top n only
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| KNNDD |
Nearest Neighbor Data Description.
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| KNNOutlier |
Outlier Detection based on the distance of an object to its k nearest
neighbor.
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| KNNSOS |
kNN-based adaption of Stochastic Outlier Selection.
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| KNNWeightOutlier |
Outlier Detection based on the accumulated distances of a point to its k
nearest neighbors.
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| LocalIsolationCoefficient |
The Local Isolation Coefficient is the sum of the kNN distance and the
average distance to its k nearest neighbors.
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| ODIN |
Outlier detection based on the in-degree of the kNN graph.
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| ReferenceBasedOutlierDetection |
Reference-Based Outlier Detection algorithm, an algorithm that computes kNN
distances approximately, using reference points.
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| SOS |
Stochastic Outlier Selection.
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