I want to cluster protein conformations by dihedrals angles. My point is an n-dimensional vector, where is n - number of dihedral angles. I think I can't use Euclidean distance for distance metric because of the distance between +179 degrees and -179 degrees is 2 degree, not 358.
Can you suggest some clustering algorithms and distance metrics for such tasks? Maybe some algorithms from geo points clusterization.