Uses of Package
de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Packages that use de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.lof used by de.lmu.ifi.dbs.elki.algorithm.outlier.lof

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.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.
VarianceOfVolume Variance of Volume for outlier detection.