t-Distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm developed for the visualization of high-dimensional data. Introduced by Laurens van der Maaten and Geoffrey Hinton in 2008, t-SNE is particularly effective in reducing the dimensions of complex datasets while preserving the relationships among data points. This makes it a valuable tool for exploring and understanding large-scale epidemiological data.
