| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier | 
 Outlier detection algorithms 
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| de.lmu.ifi.dbs.elki.algorithm.outlier.lof | 
 LOF family of outlier detection algorithms. 
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| de.lmu.ifi.dbs.elki.algorithm.outlier.meta | 
 Meta outlier detection algorithms: external scores, score rescaling. 
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| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial | 
 Spatial outlier detection algorithms 
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| de.lmu.ifi.dbs.elki.algorithm.outlier.subspace | 
 Subspace outlier detection methods. 
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| de.lmu.ifi.dbs.elki.algorithm.outlier.trivial | 
 Trivial outlier detection algorithms: no outliers, all outliers, label outliers. 
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| tutorial.outlier | 
| Class and Description | 
|---|
| ABOD
 Angle-Based Outlier Detection
 
 Outlier detection using variance analysis on angles, especially for high
 dimensional data sets. 
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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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| AbstractDBOutlier
 Simple distance based outlier detection algorithms. 
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| AbstractDBOutlier.Parameterizer
 Parameterization class. 
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| AggarwalYuEvolutionary
 EAFOD provides the evolutionary outlier detection algorithm, an algorithm to
 detect outliers for high dimensional data. 
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| AggarwalYuEvolutionary.Individuum
 Individuum for the evolutionary search. 
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| AggarwalYuNaive
 BruteForce provides a naive brute force algorithm in which all k-subsets of
 dimensions are examined and calculates the sparsity coefficient to find
 outliers. 
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| COP
 Correlation outlier probability: Outlier Detection in Arbitrarily Oriented
 Subspaces
 
 
 Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek 
Outlier Detection in Arbitrarily Oriented Subspaces in: Proc.  | 
| COP.DistanceDist
 Score type. 
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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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| EMOutlier
 outlier detection algorithm using EM Clustering. 
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| GaussianModel
 Outlier have smallest GMOD_PROB: the outlier scores is the
 probability density of the assumed distribution. 
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| GaussianUniformMixture
 Outlier detection algorithm using a mixture model approach. 
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| HilOut
 Fast Outlier Detection in High Dimensional Spaces
 
 Outlier Detection using Hilbert space filling curves
 
 Reference:
 
 F. 
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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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| KNNOutlier
 Outlier Detection based on the distance of an object to its k nearest
 neighbor. 
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| KNNWeightOutlier
 Outlier Detection based on the accumulated distances of a point 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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| OPTICSOF
 OPTICSOF provides the Optics-of algorithm, an algorithm to find Local
 Outliers in a database. 
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| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
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| ReferenceBasedOutlierDetection
 
 provides the Reference-Based Outlier Detection algorithm, an algorithm that
 computes kNN distances approximately, using reference points. 
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| SimpleCOP
 Algorithm to compute local correlation outlier probability. 
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| Class and Description | 
|---|
| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
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| Class and Description | 
|---|
| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
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| Class and Description | 
|---|
| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
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| Class and Description | 
|---|
| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
 | 
| Class and Description | 
|---|
| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
 | 
| Class and Description | 
|---|
| OutlierAlgorithm
 Generic super interface for outlier detection algorithms. 
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