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.

- 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.