UAHDataScienceO (version 1.0.0)
Educational Outlier Detection Algorithms with Step-by-Step
Tutorials
Description
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) , Abir Smiti (2020)
, and Xiaogang Su, Chih-Ling Tsai (2011)
.