abodoutlier


Performs angle-based outlier detection on data. A complete, a randomized and a knn based methods are available.<p></p><p><table><tr><td>
Package: </td>
</tr><tr><td> abodoutlier</td>
</tr><tr><td>
Type: </td>
</tr><tr><td> Package</td>
</tr><tr><td>
Version: </td>
</tr><tr><td> 0.1</td>
</tr><tr><td>
Date: </td>
</tr><tr><td> 2015-08-30</td>
</tr><tr><td>
License: </td>
</tr><tr><td> MIT License</td>
</tr><tr><td>
Maintainer:</td>
</tr><tr><td> Jose Jimenez <jose@jimenezluna.com></jose@jimenezluna.com></td>
</tr></table>
</p>

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.

abodoutlier: Angle-based outlier detection

Description

Arguments