Manifold Learning

Manifold learning is a type of unsupervised learning technique used to uncover low-dimensional structures in high-dimensional data. It assumes that the data lies on a lower-dimensional manifold within the higher-dimensional space and seeks to map or project the data onto this manifold to reveal its intrinsic geometry and relationships.