4 papers
DAS-PMVC: A Framework for Partial Multi-View Clustering via Dual Alignment and Structure Enhancement
Shubin Ma, Liang Zhao, Chuanye He +4
In recent years, multi-view clustering has attracted widespread research interest. However, due to limitations in data collection devices, data across different views often suffer…
Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data
Liang Zhao, Shubin Ma, Bo Xu +1
Multimodal feature fusion can effectively capture complex patterns in real-world data by integrating complementary information from different modalities. However, in many applicati…
Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
Mingdong Lu, Zhikui Chen, Meng Liu +2
Unsupervised multi-view clustering (MVC) aims to partition data into meaningful groups by leveraging complementary information from multiple views without labels, yet a central cha…
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Shubin Ma, Liang Zhao, Mingdong Lu +2
Multimodal representation is faithful and highly effective in describing real-world data samples' characteristics by describing their complementary information. However, the collec…