Particles tend to cluster due to various effects such as turbulence in particle-laden flows and identifying them is quite open-ended. However, several ideas from the data-clustering community can be readily applied to this problem.
The different methods are defined in clustering.py. A test of various methods can be performed using test_clustering.py.
The repository currently supports
- Repo owner or admin : Pavan Bharadwaj
- Other community or team contact : The code was developed at Stanford University as part of the Center for Turbulence Research Summer Program 2018. Please direct any queries to Pavan Bharadwaj