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.
https://anaconda.org/r/r-abodoutlier/badges/version.svg
https://anaconda.org/r/r-abodoutlier/badges/latest_release_date.svg
https://anaconda.org/r/r-abodoutlier/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-abodoutlier/badges/platforms.svg
https://anaconda.org/r/r-abodoutlier/badges/license.svg
https://anaconda.org/r/r-abodoutlier/badges/downloads.svg