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.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.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
tutorial.outlier

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	ABOD<V extends NumberVector<?>> Angle-Based Outlier Detection Outlier detection using variance analysis on angles, especially for high dimensional data sets.
class	AbstractAggarwalYuOutlier<V extends NumberVector<?>> Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.
class	AbstractDBOutlier<O,D extends Distance<D>> Simple distance based outlier detection algorithms.
class	AggarwalYuEvolutionary<V extends NumberVector<?>> EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data.
class	AggarwalYuNaive<V extends NumberVector<?>> BruteForce provides a naive brute force algorithm in which all k-subsets of dimensions are examined and calculates the sparsity coefficient to find outliers.
class	ALOCI<O extends NumberVector<?>,D extends NumberDistance<D,?>> Fast Outlier Detection Using the "approximate Local Correlation Integral".
class	COP<V extends NumberVector<?>,D extends NumberDistance<D,?>> 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.
class	DBOutlierDetection<O,D extends Distance<D>> Simple distanced based outlier detection algorithm.
class	DBOutlierScore<O,D extends Distance<D>> Compute percentage of neighbors in the given neighborhood with size d.
class	EMOutlier<V extends NumberVector<?>> outlier detection algorithm using EM Clustering.
class	GaussianModel<V extends NumberVector<?>> Outlier have smallest GMOD_PROB: the outlier scores is the probability density of the assumed distribution.
class	GaussianUniformMixture<V extends NumberVector<?>> Outlier detection algorithm using a mixture model approach.
class	HilOut<O extends NumberVector<?>> Fast Outlier Detection in High Dimensional Spaces Outlier Detection using Hilbert space filling curves Reference: F.
class	INFLO<O,D extends NumberDistance<D,?>> INFLO provides the Mining Algorithms (Two-way Search Method) for Influence Outliers using Symmetric Relationship Reference: Jin, W., Tung, A., Han, J., and Wang, W. 2006 Ranking outliers using symmetric neighborhood relationship In Proc.
class	KNNOutlier<O,D extends NumberDistance<D,?>> Outlier Detection based on the distance of an object to its k nearest neighbor.
class	KNNWeightOutlier<O,D extends NumberDistance<D,?>> Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.
class	LDF<O extends NumberVector<?>,D extends NumberDistance<D,?>> Outlier Detection with Kernel Density Functions.
class	LDOF<O,D extends NumberDistance<D,?>> Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
class	LOCI<O,D extends NumberDistance<D,?>> Fast Outlier Detection Using the "Local Correlation Integral".
class	LOF<O,D extends NumberDistance<D,?>> Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.K_ID (-lof.k).
class	LoOP<O,D extends NumberDistance<D,?>> 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,D extends NumberDistance<D,?>> Incremental version of the LOF Algorithm, supports insertions and removals.
class	OPTICSOF<O,D extends NumberDistance<D,?>> OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database.
class	ReferenceBasedOutlierDetection<V extends NumberVector<?>,D extends NumberDistance<D,?>> provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
class	SimpleCOP<V extends NumberVector<?>,D extends NumberDistance<D,?>> Algorithm to compute local correlation outlier probability.
class	SimpleKernelDensityLOF<O extends NumberVector<?>,D extends NumberDistance<D,?>> A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.
class	SimpleLOF<O,D extends NumberDistance<D,?>> A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.

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 List<OutlierAlgorithm>	SimpleOutlierEnsemble.algorithms The algorithms to run.
private 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(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,D extends NumberDistance<D,?>> 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<?>,D extends NumberDistance<D,?>> 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<N,D extends NumberDistance<D,?>> 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,D extends NumberDistance<D,?>> SLOM: a new measure for local spatial outliers Reference: Sanjay Chawla and Pei Sun SLOM: a new measure for local spatial outliers in Knowledge and Information Systems 9(4), 412-429, 2006 This implementation works around some corner cases in SLOM, in particular when an object has none or a single neighbor only (albeit the results will still not be too useful then), which will result in divisions by zero.
class	SOF<N,O,D extends NumberDistance<D,?>> 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	OutRankS1 OutRank: ranking outliers in high dimensional data.
class	OUTRES<V extends NumberVector<?>> Adaptive outlierness for subspace outlier ranking (OUTRES).
class	SOD<V extends NumberVector<?>,D extends NumberDistance<D,?>> Subspace Outlier Degree.

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	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,D extends NumberDistance<D,?>> A simple outlier detection algorithm that computes the standard deviation of the kNN distances.