Related Procedures

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, use the TwoStep Cluster Analysis procedure.
• If you have a large number of cases to be clustered and all your variables are scale, you can alternately use 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.

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