Definition
A technique for visualizing high-dimensional data by giving each datapoint a location in a 2D or 3D map.
Detailed Explanation
t-Distributed Stochastic Neighbor Embedding is a machine learning algorithm for dimensionality reduction that focuses on preserving local structure in the data. It’s particularly good at creating visualizations that reveal clusters.
Use Cases
Gene expression visualization, image dataset exploration, document similarity mapping