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HighDimOut (version 1.0.0)

Outlier Detection Algorithms for High-Dimensional Data

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].

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Version

Install

install.packages('HighDimOut')

Monthly Downloads

3

Version

1.0.0

License

GPL-3

Maintainer

Cheng Fan

Last Published

April 2nd, 2015

Functions in HighDimOut (1.0.0)

HighDimOut-package

Outlier Detection Algorithms for High-Dimensional Data
Func.SOD

Subspace outlier detection (SOD) algorithm
TestData

Testing data for testing the performance of different algorithms
Func.trans

Outlier score transformation
Func.ABOD

Angle-based outlier detection (ABOD) algorithm
Func.FBOD

Feature-bagging outlier detection (FBOD) algorithm
GoldenStatesWarriors

The player statistics of the Golden States Warriors in the season 2013-2014
Func.SNN

A function to calculate the shared nearest neighbors (SNN)