Parameters | Pattern Discovery | Impute missing values for clustering

Impute missing values for clustering
Check this box to impute missing values in the data to avoid removing rows from the clustering because of missing data. Missing value imputation is performed with the assumptions that the missing values are completely random and the data come from a single multivariate normal distribution.
Caution: Use this feature with caution.
Refer to JMP documentation on the Hierarchical Clustering platform for additional information.
To Impute Missing Values for Clustering:
Note: This option cannot be used when the Standardize variables before clustering check box is checked.