Package: abodOutlier
Title: Angle-Based Outlier Detection
Version: 0.1
Author: Jose Jimenez <jose@jimenezluna.com>
Maintainer: Jose Jimenez <jose@jimenezluna.com>
Description: 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.
Depends: cluster, R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2015-08-30 21:39:13 UTC; hawk31
Repository: CRAN
Date/Publication: 2015-08-31 14:31:42
Built: R 4.6.0; ; 2026-04-25 15:46:43 UTC; unix
