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The detection of dataset elements that differ significantly from the majority of instances is known as outlier detection. There are various visualization methods and statistical tests, such as z-test, Grubb's test and other algorithms used to detect them.
The detection of dataset elements that differ significantly from the majority of instances is known as outlier detection. There are various visualization methods and statistical tests, such as z-test, Grubb's test and other algorithms used to detect them.