Support structure representation learning for sequential data clustering

Xiumei Wang, Dingning Guo, Peitao Cheng

Abstract: 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.