What inspired this wish list request: JMP seems to have a measure for k-means to choose an optimal number of clusters.
What is the improvement you would like to see:
I believe hierarchical clustering has some statistical measures such as silhouette to statistical choose an optimal number of clusters.
If this does not currently exist within JMP, perhaps you will consider adding it.
Why is this idea important? A statistical measure would be more accurate than the current graphical technique
Thanks for submitting this idea. In many cases, the Cubic Clustering Criterion can be used to estimate the optimal number of clusters.
See: https://www.jmp.com/support/help/en/18.1/?#page/jmp/hierarchical-cluster-platform-options.shtml
