| 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
 Connectivity-based 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 two-way 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 Distance-Based Outlier Factor) for all objects of a
 Database. 
 | 
| LOCI
 Fast Outlier Detection Using the "Local Correlation Integral". 
 | 
| LOCI.DoubleIntArrayList
 Array of double-int values. 
 | 
| LOF
 Algorithm to compute density-based 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.