Combining hierarchical clustering approaches using the PCA method

作者：

Highlights：

• The proposed method presents a framework to combine the results of hierarchical clustering approaches.

• Several descriptor matrices are used to describe the input clusterings.

• The framework uses the PCA approach as an aggregator that uses several matrices instead of element-wise aggregators.

摘要

•The proposed method presents a framework to combine the results of hierarchical clustering approaches.•Several descriptor matrices are used to describe the input clusterings.•The framework uses the PCA approach as an aggregator that uses several matrices instead of element-wise aggregators.

论文关键词：Clustering,Hierarchical clustering,Principle component analysis,PCA

论文评审过程：Received 8 June 2018, Revised 10 June 2019, Accepted 26 June 2019, Available online 27 June 2019, Version of Record 3 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.064