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].
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.1) |
| Imports: | foreach, DMwR, plyr, proxy, FNN, ggplot2 |
| Suggests: | knitr |
| Published: | 2015-04-02 |
| Author: | Cheng Fan |
| Maintainer: | Cheng Fan <raja8885 at hotmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | HighDimOut results |
| Reference manual: | HighDimOut.pdf |
| Vignettes: |
Using Outlier Detection Algorithms to Analyze NBA Players |
| Package source: | HighDimOut_1.0.0.tar.gz |
| Windows binaries: | r-devel: HighDimOut_1.0.0.zip, r-release: HighDimOut_1.0.0.zip, r-oldrel: HighDimOut_1.0.0.zip |
| macOS binaries: | r-release: HighDimOut_1.0.0.tgz, r-oldrel: HighDimOut_1.0.0.tgz |
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