Support structure representation learning for sequential data clustering

作者：

Highlights：

• A structure representation learning method for sequential data clustering is presented.

• The proposed method extracts both sequential and spatial information.

• The structure-preserving property and the connectivity of the method are proved.

• The proposed method achieves better performance than the state-of-the-art methods.

摘要

•A structure representation learning method for sequential data clustering is presented.•The proposed method extracts both sequential and spatial information.•The structure-preserving property and the connectivity of the method are proved.•The proposed method achieves better performance than the state-of-the-art methods.

论文关键词：Sequential data,Clustering,Support structure representation

论文评审过程：Received 24 December 2020, Revised 12 July 2021, Accepted 15 September 2021, Available online 16 September 2021, Version of Record 1 October 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108326