2026-08-26T22:09:08Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4615 2021-12-13T02:20:24Z 1582963302567:1597824273898 user-ucsy

Big Data Clustering using Parallel Differential Evolution Algorithm Cho, Pyae Pyae Win Nyunt, Thi Thi Soe Clustering is the task of discovering group ofsimilar objects or items and there have been manyapplications for clustering such as imagesegmentation, document retrieval and data mining.The increasing volumes of information emerging bythe development of technology makes clustering ofvery large scale of data a challenging task.Differential evolution (DE) algorithm is aninnovative evolutionary algorithm (EA) for globaloptimization, where the mutation operator is basedon the distribution of solutions in the population.Clustering can be viewed as optimization problemwhere the task is finding the optimal cluster solution.To deal with clustering of huge amount of data sets,the use of classical DE is time-consuming that it isinfeasible. This paper proposes a parallel differentialevolution algorithm for clustering enormous databased on Spark framework. The proposed approachwill be efficient for large-scale data clustering. 2018-02-22 http://hdl.handle.net/20.500.12678/0000004615 https://meral.edu.mm/records/4615