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.
|Author||Yingsong Hu, Wayne Murray and Yin Shan, Australia.|
|Maintainer||Yingsong Hu <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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