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...".
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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
- Enter the cluster names in the Label column.
- Click OK to save the cluster names.
Next
How to Analyze Data by Groups/Segments
How to Do Latent Class Analysis
How to Create a Segmentation Comparison Table
How to Do Mixed Mode Cluster Analysis in Displayr