HighDimOut: Outlier Detection Algorithms for High-Dimensional Data

Three high-dimensional outlier detection algorithms and a outlier unification scheme are implemented in this package. The angle-based outlier detection (ABOD) algorithm is based on the work of Kriegel, Schubert, and Zimek [2008]. The subspace outlier detection (SOD) algorithm is based on the work of Kriegel, Kroger, Schubert, and Zimek [2009]. The feature bagging-based outlier detection (FBOD) algorithm is based on the work of Lazarevic and Kumar [2005]. The outlier unification scheme is based on the work of Kriegel, Kroger, Schubert, and Zimek [2011].

Install the latest version of this package by entering the following in R:
install.packages("HighDimOut")
AuthorCheng Fan <raja8885@hotmail.com>
Date of publication2015-04-02 08:02:28
MaintainerCheng Fan <raja8885@hotmail.com>
LicenseGPL-3
Version1.0.0

View on CRAN

Files

inst
inst/doc
inst/doc/GoldenStateWarriors.R
inst/doc/GoldenStateWarriors.Rmd
inst/doc/GoldenStateWarriors.html
NAMESPACE
data
data/GoldenStatesWarriors.RData
data/TestData.RData
R
R/HighDimOut.R
vignettes
vignettes/GoldenStateWarriors.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/Func.FBOD.Rd man/HighDimOut-package.Rd man/Func.SOD.Rd man/TestData.Rd man/GoldenStatesWarriors.Rd man/Func.SNN.Rd man/Func.ABOD.Rd man/Func.trans.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.