Although the structures of the energy landscapes for the molecules studied here can be rationalized in terms of intermolecular interactions, we find that the grouping of crystal structures in energy basins is not reproduced by clustering or dimensionality reduction based on commonly-used structural descriptors. Thus, the results are complementary to unsupervised machine learning approaches that have been applied to the analysis of crystal structure landscapes.