PAMM can also be used to extract information about the proximity/similarity between the clusters, allowing to organize them into a hierarchy of macro-clusters. As explained more in details in Ref. 30 and shown as inset in Figure , one can build an adjacency matrix between the various metastable states and from that define a tree representing the hierarchical interconnections. This additional analysis quantifies the proximity in SOAP space, and provides an indication on how clusters could be merged by cutting the adjacency tree at a suitable height -this builds coarse-grained regions in feature space that we will refer to as macro-clusters.