Traditional agglomerative hierarchical clustering routines merge two clusters at each step. Does it seem likely that such

Question:

Traditional agglomerative hierarchical clustering routines merge two clusters at each step. Does it seem likely that such an approach accurately captures the (nested) cluster structure of a set of data points? If not, explain how you might postprocess the data to obtain a more accurate view of the cluster structure.