Description
Angle-Based Outlier Detection.
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.
README.md
Angle-Based Outlier Detection
Implementation of the angle-based outlier factor in R. 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.
Install
The package is available on CRAN:
install.packages("abodOutlier")
library(abodOutlier)
Usage
abod(faithful, method = "randomized", n_sample_size = 30)
abod(faithful, method = "knn", k = 20)
MIT Licensed.