Parallel implementation of fuzzy minimals clustering algorithm

作者：

Highlights：

• We propose a novel parallel implementation of the fuzzy clustering algorithm.

• We redefine a fuzzy clustering technique to improve data-parallelism.

• Our method enhances the execution time for the classification of large data-sets.

摘要

•We propose a novel parallel implementation of the fuzzy clustering algorithm.•We redefine a fuzzy clustering technique to improve data-parallelism.•Our method enhances the execution time for the classification of large data-sets.

论文关键词：Parallel fuzzy clustering,Fuzzy clustering,Fuzzy minimals

论文评审过程：Received 6 July 2015, Revised 30 October 2015, Accepted 18 November 2015, Available online 2 December 2015, Version of Record 17 December 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.11.011