These data illstrate the case where two binary questions give the same bipartition and how the binary question with the most discriminant variable (X1 here) is chosen.
A numerial data frame with 20 rows and 2 columns simulated from two gaussien distributions.
1 2 3 4 | data(equality_case)
plot(equality_case) #X1 discriminates the bipartition better than X2
tree <- divclust(equality_case,K=3)
plot(tree,nqbin=1) # the binary question with X1 is chosen
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.