Nothing
OutliersLearn: Educational Outlier Package with Common Outlier Detection Algorithms
Provides implementations of some of the most important outlier detection algorithms. Includes a tutorial mode option that shows a description of each algorithm and provides a step-by-step execution explanation of how it identifies outliers from the given data with the specified input parameters. References include the works of Azzedine Boukerche, Lining Zheng, and Omar Alfandi (2020) <doi:10.1145/3381028>, Abir Smiti (2020) <doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su, Chih-Ling Tsai (2011) <doi:10.1002/widm.19>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Andres Missiego Manjon [aut, cre], Juan Jose Cuadrado Gallego [aut] |
| Maintainer | Andres Missiego Manjon <andres.missiego@edu.uah.es> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the OutliersLearn package in your browser
Any scripts or data that you put into this service are public.
