Deep multi-view clustering with diverse and discriminative feature learning

Junpeng Xu, Min Meng, Jigang Liu, Jigang Wu

Abstract: Highlights•Our method aligns low-level features to regularize relationships across views.•A diverse loss is proposed to solve dimension independence in contrastive learning.•Results on eight datasets prove superior clustering performance of our method.