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README.md
In abodOutlier: Angle-Based Outlier Detection
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.
Try the abodOutlier package in your browser
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abodOutlier documentation built on May 2, 2019, 8:23 a.m.
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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.
Try the abodOutlier package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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