See: Description
| Class | Description |
|---|---|
| ALOCI<O extends NumberVector<?>,D extends NumberDistance<D,?>> |
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<?>,D extends NumberDistance<D,?>> |
Parameterization class.
|
| FlexibleLOF<O,D extends NumberDistance<D,?>> |
Flexible variant of the "Local Outlier Factor" algorithm.
|
| FlexibleLOF.LOFResult<O,D extends NumberDistance<D,?>> |
Encapsulates information like the neighborhood, the LRD and LOF values of
the objects during a run of the
FlexibleLOF algorithm. |
| FlexibleLOF.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization 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. |
| INFLO.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization class.
|
| LDF<O extends NumberVector<?>,D extends NumberDistance<D,?>> |
Outlier Detection with Kernel Density Functions.
|
| LDF.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>> |
Parameterization class.
|
| LDOF<O,D extends NumberDistance<D,?>> |
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a
Database.
|
| LDOF.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization class.
|
| LOCI<O,D extends NumberDistance<D,?>> |
Fast Outlier Detection Using the "Local Correlation Integral".
|
| LOCI.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization class.
|
| LOF<O,D extends NumberDistance<D,?>> |
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,D extends NumberDistance<D,?>> |
Parameterization 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.
|
| LoOP.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization class.
|
| OnlineLOF<O,D extends NumberDistance<D,?>> |
Incremental version of the
LOF Algorithm, supports insertions and
removals. |
| OnlineLOF.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization 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.
|
| SimpleKernelDensityLOF.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>> |
Parameterization class.
|
| SimplifiedLOF<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.
|
| SimplifiedLOF.Parameterizer<O,D extends NumberDistance<D,?>> |
Parameterization class.
|
LOF family of outlier detection algorithms.