Propose Parallelization of K-Medoid Clustering Algorithm
Khaled A. Alenezi, Mohammad A. AlAhmad, Walid Aljoby · 2015
This paper presents an method for paralleling K-Medoid clustering algorithm. The K-Medoid algorithm will be alienated into responsibilities, which will be charted into multiprocessor system. The control configuration for the way of stating the responsibilities in parallel form and the communication model that pleased the tool for contact between these responsibilities is existing. Data parallel model is constructed by rotting the responsibilities between the processors. The operation and trying of the parallel model have showed using SESE academic simulator under Fedora 11 version at Linux OS environment.