Multivariate BACON Outlier Detection

Outlier detection methods aim to identify observation points that are abnormally distant from other observation points. In multivariate outlier detection methods, the observation point is the entire feature vector.


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.
Select sticky button color: 
Orange (only for download buttons)