What is t-Distributed Stochastic Neighbor Embedding (t-SNE)?
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a popular machine learning algorithm used for dimensionality reduction. It is particularly well-suited for visualizing high-dimensional data sets by mapping them into a lower-dimensional space, usually two or three dimensions. The algorithm aims to maintain the relative distances between points, helping to reveal underlying structures in the data.