To get the best overall performance of univariate outlier detection:
- If input data is homogeneous, provide input data and store results in homogeneous numeric tables of the same type as specified in the algorithmFPType class template parameter.
- If input data is non-homogeneous, use AOS layout rather than SOA layout.
You can benefit from splitting the input data set into blocks for parallel processing.
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Notice revision #20110804