A Parallel Clustering Model Based on MapReduce
GU Rui-chu · Computer and Modernization · 2014
During the clustering for big scale data,the traditional serial model has limitations,can not obtain a satisfied results within significant intervals. This paper proposes a concurrent clustering model based on MapReduce architechture under the Hadoop platform. The experiment result shows this model has a perfect linear speedup,and it outperforms the traditional clusting model,especially in dealing with massive data set.