p-SNE embeds sparse Poisson count data into low dimensions by using KL divergence between Poisson distributions to measure pairwise dissimilarity and Hellinger distance to optimize the layout.
Each gradient descent iteration involves updating the Student-t kernel matrixQand computing the gradient (Eq
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Neighbor Embedding for High-Dimensional Sparse Poisson Data
p-SNE embeds sparse Poisson count data into low dimensions by using KL divergence between Poisson distributions to measure pairwise dissimilarity and Hellinger distance to optimize the layout.