A high-performance clustering algorithm based on searched experiences

作者：

Highlights：

• This study presents a high-performance clustering algorithm based on searched experiences.

• The results show that it is able to find a better result than traditional clustering algorithms.

• We apply it to Spark to show its possibility to accelerate the response time on a cloud system.

摘要

•This study presents a high-performance clustering algorithm based on searched experiences.•The results show that it is able to find a better result than traditional clustering algorithms.•We apply it to Spark to show its possibility to accelerate the response time on a cloud system.

论文关键词：Clustering,Big data,Cloud computing,Spark

论文评审过程：Received 31 March 2018, Revised 28 June 2018, Accepted 22 August 2018, Available online 29 August 2018, Version of Record 15 August 2019.

论文官网地址：https://doi.org/10.1016/j.chb.2018.08.038