# Uses of Packagede.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
•
Class and Description
ALOCI
Fast Outlier Detection Using the "approximate Local Correlation Integral".
ALOCI.Node
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.
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