abodOutlier: Angle-Based Outlier Detection

Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.

AuthorJose Jimenez <jose@jimenezluna.com>
Date of publication2015-08-31 14:31:42
MaintainerJose Jimenez <jose@jimenezluna.com>
LicenseMIT + file LICENSE
Version0.1

View on CRAN

Files in this package

abodOutlier
abodOutlier/NAMESPACE
abodOutlier/R
abodOutlier/R/abod.R
abodOutlier/README.md
abodOutlier/MD5
abodOutlier/DESCRIPTION
abodOutlier/man
abodOutlier/man/abod.Rd abodOutlier/man/abodoutlier-package.Rd
abodOutlier/LICENSE

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

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