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].


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install.packages("HighDimOut")

1.0.0 by Cheng Fan, 2 years ago


Browse source code at https://github.com/cran/HighDimOut


Authors: Cheng Fan <raja8885@hotmail.com>


Documentation:   PDF Manual  


GPL-3 license


Imports foreach, DMwR, plyr, proxy, FNN, ggplot2

Suggests knitr


See at CRAN