Cognitive Deep Incomplete Multi-view Clustering Network (CDIMC-net): A Novel Approach for Efficient Incomplete Multi-view Data Analysis

CDIMC-net is a novel deep clustering network that effectively handles incomplete multi-view data by incorporating view-specific deep encoders, graph embedding, and a self-paced learning strategy to capture high-level features, preserve local structure, and reduce the negative influence of outliers.