Package  Description 

de.lmu.ifi.dbs.elki.algorithm.outlier.lof 
LOF family of outlier detection algorithms

Class and Description 

ALOCI
Fast Outlier Detection Using the "approximate Local Correlation Integral".

ALOCI.Node
Node of the ALOCI Quadtree

COF
Connectivitybased Outlier Factor (COF).

FlexibleLOF
Flexible variant of the "Local Outlier Factor" algorithm.

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

INFLO
Influence Outliers using Symmetric Relationship (INFLO) using twoway search,
is an outlier detection method based on LOF; but also using the reverse kNN.

KDEOS
Generalized Outlier Detection with Flexible Kernel Density Estimates.

LDF
Outlier Detection with Kernel Density Functions.

LDOF
Computes the LDOF (Local DistanceBased Outlier Factor) for all objects of a
Database.

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

LOCI.DoubleIntArrayList
Array of doubleint values.

LOF
Algorithm to compute densitybased local outlier factors in a database based
on a specified parameter
lof.k . 
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. 
SimpleKernelDensityLOF
A simple variant of the LOF algorithm, which uses a simple kernel density
estimation instead of the local reachability density.

SimplifiedLOF
A simplified version of the original LOF algorithm, which does not use the
reachability distance, yielding less stable results on inliers.

VarianceOfVolume
Variance of Volume for outlier detection.

Copyright © 2019 ELKI Development Team. License information.