LOF family of outlier detection algorithms.
Class Summary Class Description ALOCI<V extends NumberVector>Fast Outlier Detection Using the "approximate Local Correlation Integral". ALOCI.ALOCIQuadTreeSimple quadtree for ALOCI. ALOCI.NodeNode of the ALOCI Quadtree 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.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.DoubleIntArrayListArray of double-int values. LOF<O>Algorithm to compute density-based local outlier factors in a database based on a specified parameter
LoOP<O>LoOP: Local Outlier Probabilities OnlineLOF<O>Incremental version of the
LOFAlgorithm, 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.