LOF family of outlier detection algorithms
|Class and Description|
Fast Outlier Detection Using the "approximate Local Correlation Integral".
Node of the ALOCI Quadtree
Connectivity-based Outlier Factor (COF).
Flexible variant of the "Local Outlier Factor" algorithm.
Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the
Influence Outliers using Symmetric Relationship (INFLO) using two-way search, is an outlier detection method based on LOF; but also using the reverse kNN.
Generalized Outlier Detection with Flexible Kernel Density Estimates.
Outlier Detection with Kernel Density Functions.
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
Fast Outlier Detection Using the "Local Correlation Integral".
Array of double-int values.
Algorithm to compute density-based local outlier factors in a database based on a specified parameter
LoOP: Local Outlier Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability.
Incremental version of the
A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.
A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.
Variance of Volume for outlier detection.
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