Machine Learning, Dimensionality Reduction, Feature Selection, Curse Of Dimensionality, Feature Engineering.
neighbourhood like LLE but uses the Hessian operator to better achieve this result and hence the name. Spectral Embedding (Laplacian Eigenmaps): Uses spectral techniques to perform dimensionality reduction by mapping nearby inputs to nearby outputs. It preserves locality rather than local linearity