Machine Learning, Dimensionality Reduction, Feature Selection, Curse Of Dimensionality, Feature Engineering.
separability Non-linear Dimensionality Reduction Methods Non-linear transformation methods or manifold learning methods are used when the data doesn’t lie on a linear subspace. It is based on the manifold hypothesis which says that in a high dimensional structure, most relevant information is