Overview of the Cluster Tool

Clustering is a method of data segmentation that puts observations into groups that are suggested by the data. The observations in each cluster tend to be similar in some measurable way, and observations in different clusters tend to be dissimilar. Observations are assigned to exactly one cluster. From the clustering analysis, you can generate a cluster ID variable to use in other explorations.

The cluster tool requires at least two measure variables as input. You cannot specify an interaction term or category variable.