Machine Learning, Dimensionality Reduction, Feature Selection, Curse Of Dimensionality, Feature Engineering.
Locally Linear Embedding (LLE): Recovers global non-linear structure from linear fits. Each local patch of the manifold can be written as a linear, weighted sum of its neighbours given enough data. Hessian Eigenmapping (HLLE): Projects data to a lower dimension while preserving the local