In this example, you use the Cytometry.jmp sample data table to cluster observations using K Means Cluster. Cytometry is used to detect markers of the surface of cells and the readings from these markers help diagnose certain diseases. In this example, the observations are grouped based on readings of four markers in a cytometry analysis.
1.
Select Help > Sample Data Library and open Cytometry.jmp
2.
Select Analyze > Clustering > K Means Cluster.
3.
Select CD3, CD8, CD4, and MCB and click Y, Columns.
4.
5.
Enter 3 next to Number of Clusters.
6.
Enter 15 next to Range of Clusters (Optional).
7.
Figure 11.2 Cluster Comparison Report
Figure 11.3 K Means NCluster=11 Report
Figure 11.4 Parallel Coordinate Plots for Cytometry Data
Figure 11.5 Biplot for Cytometry Data

Help created on 7/12/2018