How to Save K-Means Cluster Membership

This article describes how to save respondent-level cluster/group membership from a k-means cluster analysis by allocating cases to the most similar cluster (e.g., people to segments).

Requirements

A document containing a k-means cluster analysis output.
Note: observations with missing values in the predictors are not predicted.

Method

Select the k-means cluster analysis output.
From Properties , select Save Variables(s) > Cluster Membership. A new categorical variable is added to the top of the data set called "Segment/Cluster memberships from...".
Locate the new variable in the Data Sources tree, then hover over it to preview the respondent-level membership data, or drag it onto the page to create a table.
Optional: Add names to the cluster variable by first selecting the variable in the Data Sources tree, in Properties, click Data > Attributes > Values & Labels.
Enter the cluster names in the Label column.
Click OK to save the cluster names.