What is the role of entropy in t-SNE optimization?

Entropy controls how similarity probabilities are distributed in t-SNE.

t-SNE converts distances into probability distributions using Gaussian kernels. The entropy of these distributions is controlled via perplexity, which determines how spread out the neighborhood influence is. Higher entropy means broader neighborhoods; lower entropy emphasizes tight clusters.