Integrating Biclustering and Causal Discovery for Data Relationships
This work presents a novel methodology that integrates biclustering with causal analysis, incorporating Directed Acyclic Graph (DAG) constraints to ensure causal interpretability. The proposed approach is particularly effective in scenarios where it is important to identify causal relationships alongside cluster patter...