Package elki.outlier.lof

LOF family of outlier detection algorithms.
• Class Summary
Class Description
ALOCI<V extends NumberVector>
Fast Outlier Detection Using the "approximate Local Correlation Integral".
ALOCI.Node
ALOCI.Par<O extends NumberVector>
Parameterization class.
COF<O>
Connectivity-based Outlier Factor (COF).
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.Par<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.Par<O>
Parameterization class.
KDEOS<O>
Generalized Outlier Detection with Flexible Kernel Density Estimates.
LDF<O extends NumberVector>
Outlier Detection with Kernel Density Functions.
LDOF<O>
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
LDOF.Par<O>
Parameterization class.
LOCI<O>
Fast Outlier Detection Using the "Local Correlation Integral".
LOCI.DoubleIntArrayList
Array of double-int values.
LOF<O>
Algorithm to compute density-based local outlier factors in a database based on a specified parameter -lof.k.
LoOP<O>
LoOP: Local Outlier Probabilities
OnlineLOF<O>
Incremental version of the LOF Algorithm, supports insertions and removals.
OnlineLOF.Par<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.
SimplifiedLOF<O>
A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.
VarianceOfVolume<O extends SpatialComparable>
Variance of Volume for outlier detection.