Definition
A dimensionality reduction algorithm that preserves both local and global data structure.
Detailed Explanation
Uniform Manifold Approximation and Projection is a manifold learning technique for dimension reduction based on Riemannian geometry and algebraic topology. It often provides better preservation of global structure than t-SNE while maintaining computational efficiency.
Use Cases
Single-cell RNA sequencing analysis, large-scale data visualization, clustering visualization