t-Distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm used for dimensionality reduction. It is particularly well-suited for visualizing high-dimensional data by reducing it to a lower dimension, typically two or three dimensions. This makes it easier to identify patterns and clusters within complex datasets.
