What is the role of KL divergence in t-SNE?

Updated May 16, 2026

Short answer

KL divergence measures mismatch between high-dimensional and low-dimensional distributions.

Deep explanation

t-SNE minimizes KL divergence between probability distributions representing pairwise similarities in high and low dimensions, ensuring similar points stay close.

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