Multi-view Semantic Consistency based Information Bottleneck for Clustering

Wenbiao Yan, Yiyang Zhou, Yifei Wang, Qinghai Zheng, Jihua Zhu

Abstract: Highlights•A novel clustering approach extracts essential information from multi-view features, enhancing interpretability.•It uses semantic consistency and information bottleneck theory for discriminative representation, focusing on crucial clustering details.•MSCIB’s proven effective in extensive tests, outperforming other methods.

External IDs:dblp:journals/kbs/YanZWZZ24