What is t-SNE?

t-SNE (t-distributed Stochastic Neighbor Embedding) is a dimensionality reduction technique primarily used for visualizing high-dimensional data in lower dimensions (typically 2 or 3 dimensions). It works by modeling each high-dimensional object by a low-dimensional point in such a way that similar objects are modeled by nearby points and dissimilar objects are modeled by distant points. It is commonly used to explore and visualize clusters or patterns in complex datasets, such as image data, gene expression data, and text documents.