The Hierarchical Cluster Analysis procedure is useful for finding natural groupings of cases or variables. It works best when your data file contains a small number (less than a few hundred) of objects to be clustered.

- If you have a large number of cases to be clustered, try the K-Means Cluster Analysis procedure.
- If you're interested in examining the structure of your variables and they are scale variables, you can try Factor Analysis as an alternative.