PROC STDIZE is run with METHOD=MIDRANGE before clustering. What transformation does this apply?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — METHOD=MIDRANGE centers each value by subtracting (min+max)/2, then scales it by dividing by (max-min)/2, so you get values bounded in [-1, 1]. The z-score option just subtracts the mean and divides by standard deviation, which is METHOD=STD.
Full Explanation
METHOD=MIDRANGE centers by subtracting (min+max)/2 and scales by dividing by (max-min)/2, producing values in [-1, 1]. The z-score option subtracts the mean and divides by standard deviation, which is METHOD=STD. The option dividing by the range produces [0, 1], METHOD=RANGE. The log-after-median option is not a valid PROC STDIZE METHOD= option.