If I have highly dimensional data and perform k means clustering, I can end up with clusters that differ more on some axes than others.
SPSS provides the option to return an ANOVA for each variable, which shows if the variance is significant between clusters. Is it possible to break this down into pairs of clusters?
For instance, I might have 8 variables. If I end up with 3 clusters, I can see that there is a significance difference between them with regards to several variables. What I can't see is whether this effect is driven primarily by the difference between cluster A and B, B and C or A and C.
Is there a way to do this in SPSS? If not, what tools will allow me to? (I have dabbled in R previously.)