Parameters | Pattern Discovery | Standardize variables before clustering

Standardize variables before clustering
Select this option to standardize the variables prior to clustering.
During standardization, each column is scaled and centered to produce Z-scores. This method is equivalent to Data Standardize normalization with Method=STD. This option subtracts the mean for each column and then divides by the column standard deviation.
To Specify This Option:
Note: This option cannot be used when the Impute missing values for clustering check box is checked.