New algorithm preserves data distribution while automatically processing outliers in analysis.
The article presents a new method for automatically handling outliers in data analysis without changing the original data distribution. The researchers used a theory by John Tukey to develop the algorithm, which was tested on real data using the R programming language. This method aims to preserve the structure of the data while effectively processing outliers, which are values that deviate significantly from the rest of the data.