Univariate Outlier Detection

Outlier detection methods aim to identify observation points that are abnormally distant from other observation points. A univariate outlier is an occurrence of an abnormal value within a single observation point.

Note

For more information on the concepts behind the algorithm, see "Details" section.

For more information on the algorithm's parameters for a specific computation mode and examples of its usage, see "Batch Processing", "Online Processing" and "Distributed Processing" sections.

For more complete information about compiler optimizations, see our Optimization Notice.
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