See: Description
| 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.
|
LOF family of outlier detection algorithms.
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.