import msmbuilder.cluster
import mdtraj as md
t = md.load("run1-clone1.h5")
X = [t] # Need list of trajectories as input data
clusterer = msmbuilder.cluster.KMedoids(n_clusters=5, metric="rmsd")
clusterer.fit(X)
labels = clusterer.predict(X)
clusterer.cluster_centers_.save("./cluster_centers.pdb")
This should do it: