Fig. 4.

(A–C) Visualization of the representations learned by RCC (A) and the best-performing prior algorithms, LDMGI (B) and N-Cuts (C). The algorithms are run on 5,000 randomly sampled instances from the MNIST dataset. The learned representations are visualized using t-SNE.