The Diabetes.jmp sample data table contains ten baseline variables used in modeling disease progression. In this example, you cluster the continuous baseline variables.
1.
Select Help > Sample Data Library and open Diabetes.jmp
2.
Select Analyze > Clustering > Cluster Variables.
3.
Select the columns Age through Glucose except for Gender (Age, BMI, BP, Total Cholesterol, LDL, HDL, TCH, LTG, and Glucose) and click Y, Columns.
The Gender column cannot be included because Cluster Variables requires numeric continuous variables.
4.
Figure 14.2 Cluster Variables Report for Diabetes Data
The Variable Clustering report is shown in Figure 14.2. The Cluster Summary report shows that the variables were grouped into three clusters:
Cluster 1 consists of BMI, HDL, TCH, and LTG, as shown in the Cluster Members report. The Cluster Summary report shows that TCH is the most representative variable for Cluster 1 and that it explains 62.8% of the Cluster 1 variation.
Cluster 2 consists of Total Cholesterol and LDL. The Cluster summary report shows that Total Cholesterol is the most representative variable for Cluster 2 and that it explains 94.8% of the Cluster 2 variation.
Cluster 3 consists of Age, BP, and Glucose. The Cluster Summary report shows that the most representative variable is BP and it explains 56.2% of the Cluster 3 variation.

Help created on 7/12/2018