Machine Learning, Dimensionality Reduction, Feature Selection, Curse Of Dimensionality, Feature Engineering.
Some popular manifold learning methods are, Multi-dimensional scaling (MDS) : A technique used for analyzing similarity or dissimilarity of data as distances in a geometric spaces. Projects data to a lower dimension such that data points that are close to each other (in terms if Euclidean distance)