Clustering Algorithms in MapReduce: A Review
Vinod S. Bawane, Sandesha M. Kale · 2015
A MapReduce is a framework that allows processing the very big amounts of formless data in parallel across a distributed cluster of processors or individual computers. The MapReduce framework is mostly used to analyze the large amount of datasets in clustering environments. MapReduce has become a dominant parallel computing paradigm for big data. This paper describes well known strategies in MapReduce, and present comprehensive comparative algorithms in MapReduce in clustering environment.