Outlier Processing

Overview


After a set of outliers have been detected in a dataset, it is typical to try to process the dataset to lessen the impact of the outliers on any analysis run on the data.

Topics


  • Removing the Outliers - a simple method to deal with outliers is simply to remove them. The downside being that any information contained in the outlier data points is thereby lost.
  • Winsorization - detects points that are outside a range (specified by the standard deviation) and moves them back towards the mean.

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