Locally Linear Embedding (LLE) is a nonlinear dimensionality reduction technique that preserves local relationships between data points by assuming each point and its neighbors lie on a locally linear patch of a manifold. It is particularly effective for unfolding complex, high-dimensional datasets into lower dimensions while maintaining the intrinsic geometry of the data.