Fig 1.
Fig 1 The pipeline of method scPEDSSC.
Step 1: Data preprocessing. Step 2: Learning the self-expression matrix. Step 3: Constructing and enhancing similarity matrix. Step 4: Spectral clustering.
Fig 2.
An example of proximity enhancement.
Table 1.
The details of real scRNA-seq datasets adopted in the experiments.
Table 2.
Comparison of NMI for the twelve real datasets.
Table 3.
Comparison of ARI for the twelve real datasets.
Fig 3.
The heatmaps of similarity matrices.
Fig 4.
Visual comparisons of clustering results on the Darmanis dataset.
Fig 5.
Visualization of clustering results of method scPEDSSC.
Fig 6.
The NMI scores of ablation experiments on four datasets.
Fig 7.
The ARI scores of ablation experiments on four datasets.