@Title("Parallel implementations of LOF algorithms") @Reference(authors="Erich Schubert, Arthur Zimek, Hans-Peter 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)", url="https://doi.org/10.1007/s10618-012-0300-z", bibkey="DBLP:journals/datamine/SchubertZK14")

Package elki.outlier.lof.parallel

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)

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.
ParallelSimplifiedLOF<O>	Parallel implementation of Simplified-LOF Outlier detection using processors.
SimplifiedLRDProcessor	Processor for the "local reachability density" of LOF.