A new data clustering algorithm based on critical distance methodology

作者：

Highlights：

• A new CDC algorithm.

• 6 indicators to evaluate the results.

• 26 experiments had been conducted.

摘要

•A new CDC algorithm.•6 indicators to evaluate the results.•26 experiments had been conducted.

论文关键词：Algorithm,Cluster analysis,Euclidean distance,MST

论文评审过程：Received 23 August 2018, Revised 28 March 2019, Accepted 29 March 2019, Available online 29 March 2019, Version of Record 19 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.051