Package de.lmu.ifi.dbs.elki.algorithm.outlier.lof

LOF family of outlier detection algorithms.

See: Description

Class Summary

Class	Description
ALOCI<O extends NumberVector>	Fast Outlier Detection Using the "approximate Local Correlation Integral".
ALOCI.ALOCIQuadTree	Simple quadtree for ALOCI.
ALOCI.Node	Node of the ALOCI Quadtree
ALOCI.Parameterizer<O extends NumberVector>	Parameterization class.
COF<O>	Connectivity-based outlier factor (COF).
COF.Parameterizer<O>	Parameterization class.
FlexibleLOF<O>	Flexible variant of the "Local Outlier Factor" algorithm.
FlexibleLOF.LOFResult<O>	Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the FlexibleLOF algorithm.
FlexibleLOF.Parameterizer<O>	Parameterization 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.
INFLO.Parameterizer<O>	Parameterization class.
KDEOS<O>	Generalized Outlier Detection with Flexible Kernel Density Estimates.
KDEOS.Parameterizer<O>	Parameterization class
LDF<O extends NumberVector>	Outlier Detection with Kernel Density Functions.
LDF.Parameterizer<O extends NumberVector>	Parameterization class.
LDOF<O>	Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
LDOF.Parameterizer<O>	Parameterization class.
LOCI<O>	Fast Outlier Detection Using the "Local Correlation Integral".
LOCI.DoubleIntArrayList	Array of double-int values.
LOCI.Parameterizer<O>	Parameterization class.
LOF<O>	Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.Parameterizer.K_ID (-lof.k).
LOF.Parameterizer<O>	Parameterization 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.
LoOP.Parameterizer<O>	Parameterization class.
OnlineLOF<O>	Incremental version of the LOF Algorithm, supports insertions and removals.
OnlineLOF.Parameterizer<O>	Parameterization 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.
SimpleKernelDensityLOF.Parameterizer<O extends NumberVector>	Parameterization class.
SimplifiedLOF<O>	A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.
SimplifiedLOF.Parameterizer<O>	Parameterization class.
VarianceOfVolume<O extends SpatialComparable>	Variance of Volume for outlier detection.
VarianceOfVolume.Parameterizer<O extends SpatialComparable>	Parameterization class.

Package de.lmu.ifi.dbs.elki.algorithm.outlier.lof Description

LOF family of outlier detection algorithms.