Outliers detection algorithms

Use the algorithms for outliers detection to identify the data points that deviate from the overall pattern of your data points. The algorithm assigns a value to the outlier data points, and another value to the inlier data points. For example, the DCPY.LOFOUTLIER algorithm assigns the value '-1' to outliers and the value '1' to inliers.

The following algorithms are available:

The SCRIPT function can be used to run your custom algorithm based on the available AI connection. For details, see Add script calculations.

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