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Parallel fuzzy C-means algorithm based on MapReduce.
Pages: 133-137,151
Year: Issue:  14
Journal: Computer Engineering and Applications

Keyword:  fuzzy C-meansparallel computingMapReducedata miningcloud computing;
Abstract: Fuzzy C-means is an important soft-clustering algorithm, but with the increased amount of data the time complexity will be increased. In this paper, a parallel fuzzy C-means algorithm based on the MapReduce is proposed. The fuzzy C-means algo-rithm is redesigned to meet the MapReduce programming model. The membership degree of data set to the center is computed in parallel, and the new cluster center is re-calculated, so that the higher calculating efficiency of processing large amount of data can be got. The experimental results show that the parallel fuzzy C-means algorithm based on the MapReduce has the advantages of both high speedup and good scalability.
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