What is the role of initialization in t-SNE and UMAP?

Initialization affects convergence stability and final embedding quality.

t-SNE and UMAP are non-convex optimization problems, meaning different initializations can lead to different embeddings. PCA-based initialization often improves convergence speed and stability by starting from a structured layout rather than random positions.