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.