https://github.com/josejimenezluna/abodoutlier
Angle-based outlier detection
https://github.com/josejimenezluna/abodoutlier
Last synced: 2 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 (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2015-08-30T22:08:55.000Z (almost 10 years ago)
- Last Synced: 2024-08-06T03:05:13.778Z (11 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.