| 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
|
| 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
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. |
| LDF
Outlier Detection with Kernel Density Functions.
|
| 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.Parameterizer.K_ID (-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.
|