R parallel implementation of Local Outlier Factor(LOF) R parallel implementation of Local Outlier Factor(LOF) which uses multiple cpus to significantly speed up the LOF computation for large datasets. (Note: The overall performance depends on the computers especially the number of the cores). It also supports multiple k values to be calculated in parallel, as well as various distance measures in addition to the default Euclidean distance. Software Depends: R (>= 2.12.0), doMC, foreach Yingsong Hu <yingsonghu@hotmail.com> Yingsong Hu, Wayne Murray and Yin Shan with Strategic Data Mining Team, Department of Human Services, Australian. GPL (>= 2) 2011-10-08 application/tgz http://CRAN.R-project.org/package=Rlof