@Reference(authors="E. Schubert, A. Zimek, H.-P. Kriegel", title="Local Outlier Detection Reconsidered: a Generalized View on Locality with Applications to Spatial, Video, and Network Outlier Detection", booktitle="Data Mining and Knowledge Discovery, 28(1): 190\u2013237, 2014.", url="http://dx.doi.org/10.1007/s10618-012-0300-z")

Package de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Parallelized variants of LOF.

See: Description

Class Summary

Class	Description
LOFProcessor	Processor for computing the LOF.
LRDProcessor	Processor for the "local reachability density" of LOF.
ParallelLOF<O>	Parallel implementation of Local Outlier Factor using processors.
ParallelLOF.Parameterizer<O>	Parameterization class
ParallelSimplifiedLOF<O>	Parallel implementation of Simplified-LOF Outlier detection using processors.
ParallelSimplifiedLOF.Parameterizer<O>	Parameterization class
SimplifiedLRDProcessor	Processor for the "local reachability density" of LOF.

Package de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel Description

Parallelized variants of LOF. This parallelization is based on the generalization of outlier detection published in: Reference:

Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
Local Outlier Detection Reconsidered: a Generalized View on Locality with Applications to Spatial, Video, and Network Outlier Detection
Data Mining and Knowledge Discovery, 28(1): 190–237, 2014.