Automatic data clustering using nature-inspired symbiotic organism search algorithm

作者：

Highlights：

• The automatic clustering problem gave rise to a new era in cluster analysis with the application of meta-heuristic algorithm.

• We develop symbiotic organisms search (SOS) clustering algorithm to deal with automatic clustering problem.

• The experimental results are promising and show that the SOS algorithm produced compact and well-separated clusters.

摘要

•The automatic clustering problem gave rise to a new era in cluster analysis with the application of meta-heuristic algorithm.•We develop symbiotic organisms search (SOS) clustering algorithm to deal with automatic clustering problem.•The experimental results are promising and show that the SOS algorithm produced compact and well-separated clusters.

论文关键词：Symbiotic organism search,k-means clustering algorithm,Clustering analysis,Metaheuristic optimization

论文评审过程：Received 14 April 2018, Revised 3 September 2018, Accepted 9 September 2018, Available online 14 September 2018, Version of Record 21 November 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.09.013