Uses of Interface
elki.outlier.OutlierAlgorithm
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Packages that use OutlierAlgorithm Package Description elki.outlier Outlier detection algorithms.elki.outlier.anglebased Angle-based outlier detection algorithms.elki.outlier.clustering Clustering based outlier detection.elki.outlier.density Density-based outlier detection algorithms.elki.outlier.distance Distance-based outlier detection algorithms, such as DBOutlier and kNN.elki.outlier.distance.parallel Parallel implementations of distance-based outlier detectors.elki.outlier.intrinsic Outlier detection algorithms based on intrinsic dimensionality.elki.outlier.lof LOF family of outlier detection algorithms.elki.outlier.lof.parallel Parallelized variants of LOF.elki.outlier.meta Meta outlier detection algorithms: external scores, score rescaling.elki.outlier.spatial Spatial outlier detection algorithms.elki.outlier.subspace Subspace outlier detection methods.elki.outlier.svm Support-Vector-Machines for outlier detection.elki.outlier.trivial Trivial outlier detection algorithms: no outliers, all outliers, label outliers.tutorial.outlier Tutorials on implementing outlier detection methods in ELKI. -
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Uses of OutlierAlgorithm in elki.outlier
Classes in elki.outlier that implement OutlierAlgorithm Modifier and Type Class Description class
COP<V extends NumberVector>
Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspacesclass
DWOF<O>
Algorithm to compute dynamic-window outlier factors in a database based on a specified parameter k, which specifies the number of the neighbors to be considered during the calculation of the DWOF score.class
GaussianModel
Outlier detection based on the probability density of the single normal distribution.class
GaussianUniformMixture
Outlier detection algorithm using a mixture model approach.class
OPTICSOF<O>
OPTICS-OF outlier detection algorithm, an algorithm to find Local Outliers in a database based on ideas fromOPTICSTypeAlgorithm
clustering.class
SimpleCOP<V extends NumberVector>
Algorithm to compute local correlation outlier probability. -
Uses of OutlierAlgorithm in elki.outlier.anglebased
Classes in elki.outlier.anglebased that implement OutlierAlgorithm Modifier and Type Class Description class
ABOD<V extends NumberVector>
Angle-Based Outlier Detection / Angle-Based Outlier Factor.class
FastABOD<V extends NumberVector>
Fast-ABOD (approximateABOF) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.class
LBABOD<V extends NumberVector>
LB-ABOD (lower-bound) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor. -
Uses of OutlierAlgorithm in elki.outlier.clustering
Classes in elki.outlier.clustering that implement OutlierAlgorithm Modifier and Type Class Description class
CBLOF<O extends NumberVector>
Cluster-based local outlier factor (CBLOF).class
DBSCANOutlierDetection
Outlier detection algorithm using DBSCAN Clustering.class
EMOutlier<V extends NumberVector>
Outlier detection algorithm using EM Clustering.class
GLOSH
Global-Local Outlier Scores from Hierarchies.class
KMeansMinusMinusOutlierDetection
k-means--: A Unified Approach to Clustering and Outlier Detection.class
KMeansOutlierDetection<O extends NumberVector>
Outlier detection by using k-means clustering.class
NoiseAsOutliers
Noise as outliers, from a clustering algorithm.class
SilhouetteOutlierDetection<O>
Outlier detection by using the Silhouette Coefficients. -
Uses of OutlierAlgorithm in elki.outlier.density
Classes in elki.outlier.density that implement OutlierAlgorithm Modifier and Type Class Description class
HySortOD
Hypercube-Based Outlier Detection.class
IsolationForest
Isolation-Based Anomaly Detection. -
Uses of OutlierAlgorithm in elki.outlier.distance
Classes in elki.outlier.distance that implement OutlierAlgorithm Modifier and Type Class Description class
AbstractDBOutlier<O>
Simple distance based outlier detection algorithms.class
DBOutlierDetection<O>
Simple distanced based outlier detection algorithm.class
DBOutlierScore<O>
Compute percentage of neighbors in the given neighborhood with size d.class
HilOut<O extends NumberVector>
Fast Outlier Detection in High Dimensional Spacesclass
KNNDD<O>
Nearest Neighbor Data Description.class
KNNOutlier<O>
Outlier Detection based on the distance of an object to its k nearest neighbor.class
KNNSOS<O>
kNN-based adaption of Stochastic Outlier Selection.class
KNNWeightOutlier<O>
Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.class
LocalIsolationCoefficient<O>
The Local Isolation Coefficient is the sum of the kNN distance and the average distance to its k nearest neighbors.class
ODIN<O>
Outlier detection based on the in-degree of the kNN graph.class
ReferenceBasedOutlierDetection
Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.class
SOS<O>
Stochastic Outlier Selection. -
Uses of OutlierAlgorithm in elki.outlier.distance.parallel
Classes in elki.outlier.distance.parallel that implement OutlierAlgorithm Modifier and Type Class Description class
ParallelKNNOutlier<O>
Parallel implementation of KNN Outlier detection.class
ParallelKNNWeightOutlier<O>
Parallel implementation of KNN Weight Outlier detection. -
Uses of OutlierAlgorithm in elki.outlier.intrinsic
Classes in elki.outlier.intrinsic that implement OutlierAlgorithm Modifier and Type Class Description class
IDOS<O>
Intrinsic Dimensional Outlier Detection in High-Dimensional Data.class
ISOS<O>
Intrinsic Stochastic Outlier Selection.class
LID<O>
Use intrinsic dimensionality for outlier detection. -
Uses of OutlierAlgorithm in elki.outlier.lof
Classes in elki.outlier.lof that implement OutlierAlgorithm Modifier and Type Class Description class
ALOCI<V extends NumberVector>
Fast Outlier Detection Using the "approximate Local Correlation Integral".class
COF<O>
Connectivity-based Outlier Factor (COF).class
FlexibleLOF<O>
Flexible variant of the "Local Outlier Factor" algorithm.class
INFLO<O>
Influence Outliers using Symmetric Relationship (INFLO) using two-way search, is an outlier detection method based on LOF; but also using the reverse kNN.class
KDEOS<O>
Generalized Outlier Detection with Flexible Kernel Density Estimates.class
LDF<O extends NumberVector>
Outlier Detection with Kernel Density Functions.class
LDOF<O>
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.class
LOCI<O>
Fast Outlier Detection Using the "Local Correlation Integral".class
LOF<O>
Algorithm to compute density-based local outlier factors in a database based on a specified parameter-lof.k
.class
LoOP<O>
LoOP: Local Outlier Probabilitiesclass
OnlineLOF<O>
Incremental version of theLOF
Algorithm, supports insertions and removals.class
SimpleKernelDensityLOF<O extends NumberVector>
A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.class
SimplifiedLOF<O>
A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.class
VarianceOfVolume<O extends SpatialComparable>
Variance of Volume for outlier detection. -
Uses of OutlierAlgorithm in elki.outlier.lof.parallel
Classes in elki.outlier.lof.parallel that implement OutlierAlgorithm Modifier and Type Class Description class
ParallelLOF<O>
Parallel implementation of Local Outlier Factor using processors.class
ParallelSimplifiedLOF<O>
Parallel implementation of Simplified-LOF Outlier detection using processors. -
Uses of OutlierAlgorithm in elki.outlier.meta
Classes in elki.outlier.meta that implement OutlierAlgorithm Modifier and Type Class Description class
ExternalDoubleOutlierScore
External outlier detection scores, loading outlier scores from an external file.class
FeatureBagging
A simple ensemble method called "Feature bagging" for outlier detection.class
HiCS
Algorithm to compute High Contrast Subspaces for Density-Based Outlier Ranking.class
RescaleMetaOutlierAlgorithm
Scale another outlier score using the given scaling function.class
SimpleOutlierEnsemble
Simple outlier ensemble method.Fields in elki.outlier.meta declared as OutlierAlgorithm Modifier and Type Field Description private OutlierAlgorithm
HiCS. outlierAlgorithm
Outlier detection algorithm.private OutlierAlgorithm
HiCS.Par. outlierAlgorithm
Holds the value ofHiCS.Par.ALGO_ID
.Fields in elki.outlier.meta with type parameters of type OutlierAlgorithm Modifier and Type Field Description private java.util.List<? extends OutlierAlgorithm>
SimpleOutlierEnsemble. algorithms
The algorithms to run.private java.util.List<? extends OutlierAlgorithm>
SimpleOutlierEnsemble.Par. algorithms
The algorithms to run.Constructors in elki.outlier.meta with parameters of type OutlierAlgorithm Constructor Description HiCS(int m, double alpha, OutlierAlgorithm outlierAlgorithm, GoodnessOfFitTest statTest, int cutoff, RandomFactory rnd)
Constructor.Constructor parameters in elki.outlier.meta with type arguments of type OutlierAlgorithm Constructor Description SimpleOutlierEnsemble(java.util.List<? extends OutlierAlgorithm> algorithms, EnsembleVoting voting)
Constructor. -
Uses of OutlierAlgorithm in elki.outlier.spatial
Classes in elki.outlier.spatial that implement OutlierAlgorithm Modifier and Type Class Description class
AbstractDistanceBasedSpatialOutlier<N,O>
Abstract base class for distance-based spatial outlier detection methods.class
AbstractNeighborhoodOutlier<O>
Abstract base class for spatial outlier detection methods using a spatial neighborhood.class
CTLuGLSBackwardSearchAlgorithm<V extends NumberVector>
GLS-Backward Search is a statistical approach to detecting spatial outliers.class
CTLuMeanMultipleAttributes<N,O extends NumberVector>
Mean Approach is used to discover spatial outliers with multiple attributes.class
CTLuMedianAlgorithm<N>
Median Algorithm of C.class
CTLuMedianMultipleAttributes<N,O extends NumberVector>
Median Approach is used to discover spatial outliers with multiple attributes.class
CTLuMoranScatterplotOutlier<N>
Moran scatterplot outliers, based on the standardized deviation from the local and global means.class
CTLuRandomWalkEC<O>
Spatial outlier detection based on random walks.class
CTLuScatterplotOutlier<N>
Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.class
CTLuZTestOutlier<N>
Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.class
SLOM<N,O>
SLOM: a new measure for local spatial outliersclass
SOF<N,O>
The Spatial Outlier Factor (SOF) is a spatialLOF
variation.class
TrimmedMeanApproach<N>
A Trimmed Mean Approach to Finding Spatial Outliers. -
Uses of OutlierAlgorithm in elki.outlier.subspace
Classes in elki.outlier.subspace that implement OutlierAlgorithm Modifier and Type Class Description class
AbstractAggarwalYuOutlier
Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.class
AggarwalYuEvolutionary
Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.class
AggarwalYuNaive
BruteForce variant of the high-dimensional outlier detection algorithm by Aggarwal and Yu.class
OutRankS1
OutRank: ranking outliers in high dimensional data.class
OUTRES
Adaptive outlierness for subspace outlier ranking (OUTRES).class
SOD<V extends NumberVector>
Subspace Outlier Degree: Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. -
Uses of OutlierAlgorithm in elki.outlier.svm
Classes in elki.outlier.svm that implement OutlierAlgorithm Modifier and Type Class Description class
LibSVMOneClassOutlierDetection<V extends NumberVector>
Outlier-detection using one-class support vector machines.class
OCSVM<V>
Outlier-detection using one-class support vector machines.class
SVDD<V>
Support Vector Data Description for outlier detection. -
Uses of OutlierAlgorithm in elki.outlier.trivial
Classes in elki.outlier.trivial that implement OutlierAlgorithm Modifier and Type Class Description class
ByLabelOutlier
Trivial algorithm that marks outliers by their label.class
TrivialAllOutlier
Trivial method that claims all objects to be outliers.class
TrivialAverageCoordinateOutlier
Trivial method that takes the average of all dimensions (for one-dimensional data that is just the actual value!)class
TrivialGeneratedOutlier
Extract outlier score from the model the objects were generated by.class
TrivialNoOutlier
Trivial method that claims to find no outliers. -
Uses of OutlierAlgorithm in tutorial.outlier
Classes in tutorial.outlier that implement OutlierAlgorithm Modifier and Type Class Description class
DistanceStddevOutlier<O>
A simple outlier detection algorithm that computes the standard deviation of the kNN distances.class
ODIN<O>
Outlier detection based on the in-degree of the kNN graph.
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