Outlier Detection — Theory, Visualizations, and Code
Published in
10 min readJun 24, 2020
What is Outlier Detection?
Outlier Detection is also known as anomaly detection, noise detection, deviation detection, or exception mining. There is no universally accepted definition. An early definition by (Grubbs, 1969) is: An outlying observation, or outlier, is one that appears to deviate markedly from other members of the sample in which it occurs. A…