Locally Linear Embedding (LLE) Algorithm – A Classic Nonlinear Dimensionality Reduction Method

This program implements Locally Linear Embedding (LLE), one of the representative nonlinear dimensionality reduction algorithms, which is valuable for researchers focusing on high-dimensional data reduction studies. The implementation demonstrates the algorithm's core workflow through practical code examples and data processing steps.