Uses of Package
de.lmu.ifi.dbs.elki.algorithm.outlier

Packages that use de.lmu.ifi.dbs.elki.algorithm.outlier

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.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier used by de.lmu.ifi.dbs.elki.algorithm.outlier

ABOD
Angle-Based Outlier Detection Outlier detection using variance analysis on angles, especially for high dimensional data sets.

AbstractAggarwalYuOutlier
Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.

AbstractAggarwalYuOutlier.Parameterizer
Parameterization class.

AbstractDBOutlier
Simple distance based outlier detection algorithms.

AbstractDBOutlier.Parameterizer
Parameterization class.

AggarwalYuEvolutionary
EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data.

AggarwalYuEvolutionary.Individuum
Individuum for the evolutionary search.

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.

DBOutlierDetection
Simple distanced based outlier detection algorithm.

DBOutlierScore
Compute percentage of neighbors in the given neighborhood with size d.

EMOutlier
outlier detection algorithm using EM Clustering.

GaussianModel
Outlier have smallest GMOD_PROB: the outlier scores is the probability density of the assumed distribution.

GaussianUniformMixture
Outlier detection algorithm using a mixture model approach.

INFLO
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.

KNNOutlier
Outlier Detection based on the distance of an object to its k nearest neighbor.

KNNWeightOutlier
Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.

LDOF
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.

LOCI
Fast Outlier Detection Using the "Local Correlation Integral".

LOF
Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.K_ID (-lof.k).

LOF.LOFResult
Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the LOF algorithm.

LoOP
LoOP: Local Outlier Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability.

OnlineLOF
Incremental version of the LOF Algorithm, supports insertions and removals.

OPTICSOF
OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database.

OutlierAlgorithm
Generic super interface for outlier detection algorithms.

ReferenceBasedOutlierDetection
provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.

SOD

SOD.SODModel

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier used by de.lmu.ifi.dbs.elki.algorithm.outlier.meta

OutlierAlgorithm
Generic super interface for outlier detection algorithms.

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier used by de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

OutlierAlgorithm
Generic super interface for outlier detection algorithms.

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier used by de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

OutlierAlgorithm
Generic super interface for outlier detection algorithms.