t-SNE (t-Distributed Stochastic Neighbor Embedding) is a machine learning algorithm developed for the visualization of high-dimensional data. It is particularly effective for embedding data in two or three dimensions for visualization purposes, making it easier to identify patterns and clusters in complex datasets.
