4 papers
SPORT: Structure-Aware Prototype Disentanglement for Incomplete Multi-View Clustering
Yaoyuan Guo, Zhibin Gu, Songhe Feng +2
Prototype-based Incomplete Multi-view Clustering has recently attracted increasing attention by exploiting prototypes as semantic anchors for missing-view imputation. However, exis…
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise
Shihao Dong, Yue Liu, Xiaotong Zhou +3
Multi-view clustering (MVC), which aims to separate the multi-view data into distinct clusters in an unsupervised manner, is a fundamental yet challenging task. To enhance its appl…
Center-Oriented Prototype Contrastive Clustering
Shihao Dong, Xiaotong Zhou, Yuhui Zheng +2
Contrastive learning is widely used in clustering tasks due to its discriminative representation. However, the conflict problem between classes is difficult to solve effectively. E…
Multi-view Clustering via Bi-level Decoupling and Consistency Learning
Shihao Dong, Yuhui Zheng, Huiying Xu +1
Multi-view clustering has shown to be an effective method for analyzing underlying patterns in multi-view data. The performance of clustering can be improved by learning the consis…