Distance and density based clustering algorithm using Gaussian kernel

作者：

Highlights：

• The new algorithm uses Gaussian kernel and distances to form clusters.

• The new approach does not require any special parameters prior to run.

• Resulting clusters do not change at different runs.

摘要

•The new algorithm uses Gaussian kernel and distances to form clusters.•The new approach does not require any special parameters prior to run.•Resulting clusters do not change at different runs.

论文关键词：Gaussian,Density-based clustering,Distribution-based clustering,Distance-based clustering,Data mining

论文评审过程：Received 23 June 2016, Revised 2 October 2016, Accepted 11 October 2016, Available online 14 October 2016, Version of Record 24 October 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.022