SNE vs. tSNE Algorithm

SNE and t-SNE are dimensionality reduction algorithms that project high-dimensional data into 2D for visualization. The key difference lies in their probability distributions: SNE uses Gaussian distributions for both high and low dimensions, resulting in crowded, poorly separated clusters. t-SNE replaces the low-dimensional Show more