Gravitational clustering in machine learning, a previous idea of mine, has been done before, but it seems that you can also cluster points based on the Lorentz transform spacetime undergoes in general relativity. I’m wondering whether a data clustering algorithm based on the stress-energy tensor (simulated at relativistic speeds, of course) would be feasible. My dissertation is on using tensors in data mining, so it could be a useful example.