An important objective of hierarchical cluster analysis is to provide a picture of the data that can easily be interpreted, such as the dendrograms. Dendrograms list the clusterings one after another. Cutting a dendrogram at any level defines a clustering and identifies clusters. The level itself has no meaning in terms of the scale of the proximity matrix.