  Recent advances in computer architecture and networking opened the
opportunity for parallelizing the clustering algorithms. This
divide-and-conquer strategy often results in better results to centralized
clustering with a much-improved time performance. This paper reviews key
parallel clustering and provides insight into their strategy. The review brings
together disparate attempts in parallel clustering to provide a comprehensive
account of advances in this emerging field
