[USER (data scientist)]: Which statement is incorrect regarding the distinctions between min-max normalization and standardization?

A. Min-max normalization scales data to a fixed range, typically 0 to 1, while standardization scales data based on its mean and standard deviation.
B. Min-max normalization is particularly sensitive to outliers, as extreme values can significantly affect the scaling of other data points.
C. Standardization transforms data in a way that the resulting distribution can have negative values and does not bind data to a specific range.
D. Standardization is less sensitive to outliers and is often used when the data follows or is assumed to follow a Gaussian distribution.
E. None of the above

[YOU (AI assistant)]: 