Uses of Interface
de.lmu.ifi.dbs.elki.algorithm.outlier.OutlierAlgorithm

Packages that use OutlierAlgorithm

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering	Clustering based outlier detection.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel	Parallel implementations of distance-based outlier detectors.
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel	Parallelized variants of LOF.
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods Methods that detect outliers in subspaces (projections) of the data set.
de.lmu.ifi.dbs.elki.algorithm.outlier.svm	Support-Vector-Machines for outlier detection.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
tutorial.outlier	Tutorials on implementing outlier detection methods in ELKI.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	COP<V extends NumberVector> Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspaces Reference: Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek Outlier Detection in Arbitrarily Oriented Subspaces Proc.
class	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<V extends NumberVector> Outlier detection based on the probability density of the single normal distribution.
class	GaussianUniformMixture<V extends NumberVector> 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 from OPTICSTypeAlgorithm clustering.
class	SimpleCOP<V extends NumberVector> Algorithm to compute local correlation outlier probability.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased that implement OutlierAlgorithm

Modifier and Type	Class and 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 de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	CBLOF<O extends NumberVector> Cluster-based local outlier factor (CBLOF).
class	EMOutlier<V extends NumberVector> Outlier detection algorithm using EM Clustering.
class	KMeansOutlierDetection<O extends NumberVector> Outlier detection by using k-means clustering.
class	SilhouetteOutlierDetection<O> Outlier detection by using the Silhouette Coefficients.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.distance that implement OutlierAlgorithm

Modifier and Type	Class and 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 Spaces Outlier Detection using Hilbert space filling curves Reference: F.
class	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 de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	ParallelKNNOutlier<O> Parallel implementation of KNN Outlier detection.
class	ParallelKNNWeightOutlier<O> Parallel implementation of KNN Weight Outlier detection.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	IDOS<O> Intrinsic Dimensional Outlier Detection in High-Dimensional Data.
class	IntrinsicDimensionalityOutlier<O> Use intrinsic dimensionality for outlier detection.
class	ISOS<O> Intrinsic Stochastic Outlier Selection.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.lof that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	ALOCI<O 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 Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability.
class	OnlineLOF<O> Incremental version of the LOF 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 de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel that implement OutlierAlgorithm

Modifier and Type	Class and 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 de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.meta that implement OutlierAlgorithm

Modifier and Type	Class and 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<V extends NumberVector> 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 de.lmu.ifi.dbs.elki.algorithm.outlier.meta declared as OutlierAlgorithm

Modifier and Type	Field and Description
private OutlierAlgorithm	HiCS.outlierAlgorithm Outlier detection algorithm.
private OutlierAlgorithm	HiCS.Parameterizer.outlierAlgorithm Holds the value of HiCS.Parameterizer.ALGO_ID.

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.meta with type parameters of type OutlierAlgorithm

Modifier and Type	Field and Description
private java.util.List<OutlierAlgorithm>	SimpleOutlierEnsemble.algorithms The algorithms to run.
private java.util.List<OutlierAlgorithm>	SimpleOutlierEnsemble.Parameterizer.algorithms The algorithms to run.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.meta with parameters of type OutlierAlgorithm

Constructor and Description
HiCS(int m, double alpha, OutlierAlgorithm outlierAlgorithm, GoodnessOfFitTest statTest, int cutoff, RandomFactory rnd) Constructor.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.outlier.meta with type arguments of type OutlierAlgorithm

Constructor and Description
SimpleOutlierEnsemble(java.util.List<OutlierAlgorithm> algorithms, EnsembleVoting voting) Constructor.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial that implement OutlierAlgorithm

Modifier and Type	Class and 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<P> 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 outliers Reference: S.
class	SOF<N,O> The Spatial Outlier Factor (SOF) is a spatial LOF variation.
class	TrimmedMeanApproach<N> A Trimmed Mean Approach to Finding Spatial Outliers.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	AbstractAggarwalYuOutlier<V extends NumberVector> Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.
class	AggarwalYuEvolutionary<V extends NumberVector> Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
class	AggarwalYuNaive<V extends NumberVector> 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.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.svm

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.svm that implement OutlierAlgorithm

Modifier and Type	Class and Description
class	LibSVMOneClassOutlierDetection<V extends NumberVector> Outlier-detection using one-class support vector machines.

Uses of OutlierAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial that implement OutlierAlgorithm

Modifier and Type	Class and 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 and Description
class	DistanceStddevOutlier<O> A simple outlier detection algorithm that computes the standard deviation of the kNN distances.