Linearization Method for Manifold Learning Algorithm LLE

The linearization method for Locally Linear Embedding (LLE) is an unsupervised dimensionality reduction technique that offers a key advantage over standard LLE: it enables mapping new sample points to the low-dimensional space, which is typically implemented through an out-of-sample extension using projection matrices or kernel methods.