Short answer: all of them. Euclidean distance is defined as sqrt(sum((x-y)**2))
, so all features are used to compute the distances. This is NOT a decision tree that splits on a single feature.
If you want some simple explanation like a decision tree, I suggest that you
Produce a flat clustering by cutting the tree at the desired height
Train a decision tree on the resulting clusters
Analyze the decision tree.