I've been working on a project that involves the clustering of data with periodic boundary conditions. Like simulation of extra-framework water species.Specifically, I am looking for clustering algorithms that can effectively handle datasets where periodicity plays a significant role.
Upon searching the traditional clustering algorithms like k-means, I gather that they are not designed to account for periodicity inherently. I would love to hear about the clustering algorithms suitable for datasets with periodic boundary conditions from experts and enthusiasts. Are there any other algorithms that you have found to be effective in this context?
Thank you in advance for your valuable input!
