DBCURE-MR: An efficient density-based clustering algorithm for large data using MapReduce
A density-based clustering algorithm DBCURE can find clusters with varying densities. DBCURE is a generalization of DBSCAN using ellipsoidal neighborhoods. We propose a parallel version of DBCURE, called DBCURE-MR, using MapReduce. DBCURE-MR finds clusters correctly based on the definition of density-based clusters. Experimental results show the efficiency and scalability of the proposed algorithms.
density-based clustering clustering algorithm mapreduce parallel algorithm