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)