Package: HighDimOut
Type: Package
Title: Outlier Detection Algorithms for High-Dimensional Data
Version: 1.0.0
Date: 2015-03-30
Author: Cheng Fan <raja8885@hotmail.com>
Maintainer: Cheng Fan <raja8885@hotmail.com>
Depends: R (>= 3.0.1)
Imports: foreach, DMwR, plyr, proxy, FNN, ggplot2
Suggests: knitr
VignetteBuilder: knitr
LazyData: true
Description: 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].
License: GPL-3
Packaged: 2015-04-02 05:40:26 UTC; mac
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-02 08:02:28
Built: R 3.1.3; ; 2015-04-03 06:39:58 UTC; unix
