Supplementary Figure 6: The importance of early exaggeration when embedding large datasets.
From: Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data
1.3 million mouse brain cells are embedded using default early exaggeration setting of 250 (left) and also embedded using setting of 2000 (right). Cells are colored by Louvain clustering in the original high-dimensional space (independent of the t-SNE). Many clusters are broken up when the number of early exaggeration iterations is insufficient, for example the 6 clusters highlighted (bottom).
