Single-cell technologies, like single-cell RNA sequencing (scRNA-seq), have become essential for exploring the complexity of tissues and organs, helping scientists understand how individual cells behave in health and disease. A key step in analyzing this data is clustering—grouping cells based on their gene expression profiles to identify distinct cell types or states. However, many ...