Efficient synthetical clustering validity indexes for hierarchical clustering

作者：

Highlights：

• A unified validity index framework for the hierarchical clustering is proposed.

• The deficiencies of the measurements in the existing validity indexes are improved.

• The incompatibility of similarity between the clustering and validation is solved.

• The proposed indexes can handle various sorts of data sets.

摘要

•A unified validity index framework for the hierarchical clustering is proposed.•The deficiencies of the measurements in the existing validity indexes are improved.•The incompatibility of similarity between the clustering and validation is solved.•The proposed indexes can handle various sorts of data sets.

论文关键词：Clustering,Validity index,Hierarchical clustering,Optimal number of clusters

论文评审过程：Received 7 June 2019, Revised 7 March 2020, Accepted 7 March 2020, Available online 13 March 2020, Version of Record 19 March 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113367