abodOutlier (0.1)

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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.

Maintainer: Jose Jimenez
Author(s): Jose Jimenez <jose@jimenezluna.com>

License: MIT + file LICENSE

Uses: cluster
Reverse suggests: stranger

Released over 4 years ago.



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