Related Procedures

The K-Means Cluster Analysis procedure is a tool for finding natural groupings of cases, given their values on a set of variables. It is most useful when you want to classify a large number (thousands) of cases.

• The TwoStep Cluster Analysis procedure allows you to use both categorical and continuous variables, and can automatically select the "best" number of clusters.
• If you want to cluster variables instead of cases, or have a small number of cases, try the Hierarchical Cluster Analysis procedure.
• If your k-means analysis is part of a segmentation solution, these newly created clusters can be analyzed in the Discriminant Analysis procedure.

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