A novel validity index with dynamic cut-off for determining true clusters
作者：
Highlights：
• A novel validation technique has been proposed to obtain true clusters.
• The method dynamically terminates the clustering at true conception of clusters.
• Global and local proximity relationship of clusters are considered for validation.
摘要
•A novel validation technique has been proposed to obtain true clusters.•The method dynamically terminates the clustering at true conception of clusters.•Global and local proximity relationship of clusters are considered for validation.
论文关键词：Clustering,Validity index,Dynamic cut-off,True clusters,k-means clustering,Hierarchical agglomerative clustering
论文评审过程：Received 30 August 2014, Revised 25 March 2015, Accepted 19 April 2015, Available online 29 April 2015, Version of Record 16 July 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.04.023
