https://github.com/josejimenezluna/abodoutlier

Angle-based outlier detection
https://github.com/josejimenezluna/abodoutlier

Last synced: 3 months ago
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Angle-based outlier detection

• Host: GitHub
• URL: https://github.com/josejimenezluna/abodoutlier
• Owner: josejimenezluna
• License: other
• Created: 2015-08-30T11:21:46.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2015-08-30T22:08:55.000Z (about 9 years ago)
• Last Synced: 2024-05-21T02:54:29.912Z (6 months ago)
• Language: R
• Size: 156 KB
• Stars: 6
• Watchers: 4
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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:

````r

install.packages("abodOutlier")

library(abodOutlier)

````

## Usage

````r

abod(faithful, method = "randomized", n_sample_size = 30)

abod(faithful, method = "knn", k = 20)

````

MIT Licensed.