Creates and manages per-zoom-level clusters for large amounts of markers.
Takes a set of points and partition them into clusters according to DBSCAN's data clustering algorithm.
Takes a set of points and partition them into clusters using the k-means algorithm.
Group points into clusters based on their spatial proximity or properties.
Isomorphic read/write lock that works in single processes, node clusters and web workers