Mutual equidistant-scattering criterion: A new index for crisp clustering
作者：
Highlights：
• A new non-parametric internal validity index is proposed for crisp clustering.
• The index is based on within-cluster mutual equidistant-scattering.
• It is proved effective on both (4) real-world and (26) synthetic benchmark data sets.
• Seven other indexes are employed in comparisons to detect the number of clusters.
• The Friedman’s test corroborates that better results are yielded with this proposal.
摘要
•A new non-parametric internal validity index is proposed for crisp clustering.•The index is based on within-cluster mutual equidistant-scattering.•It is proved effective on both (4) real-world and (26) synthetic benchmark data sets.•Seven other indexes are employed in comparisons to detect the number of clusters.•The Friedman’s test corroborates that better results are yielded with this proposal.
论文关键词：Cluster validity index,Mutual equidistant-scattering,Number of clusters,Crisp clustering
论文评审过程：Received 17 July 2018, Revised 14 March 2019, Accepted 15 March 2019, Available online 15 March 2019, Version of Record 1 April 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.027
