The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology
The paper introduces a scalable method called sublevel Flood bifiltration to compute 2-parameter persistent homology efficiently for large datasets. This new construction extends the original Flood filtration to incorporate density awareness, overcoming scalability issues found in existing 2-parameter methods. It offers theoretical stability and shows good performance in classification tasks on synthetic and real-world data.