STCC enhances spatial domain detection through consensus clustering of spatial transcriptomics data

Performance of consensus strategies on single clustering algorithms. (A,D) Consensus clustering accuracies based on single baseline algorithms for the mouse brain data (A) and the DLPFC sample 151675 (D). Each baseline algorithm and consensus strategy are repeated 10 times to calculate the error bars. (B,E) Scatter plot comparing the ARI between baseline methods (x-axis) and consensus strategies (y-axis) for mouse brain data (B) and the DLPFC sample 151675 (E), with the diagonal line indicating equal performance. (C,F) Clustering results of mouse brain and DLPFC sample 151675 by different consensus strategies by using BASS (C) and BayesSpace (F) as baseline algorithms, respectively.