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Manifold learning algorithms try and do this beneath the constraint the figured out representation is lower-dimensional. Sparse coding algorithms make an effort to achieve this beneath the constraint the realized representation is sparse, meaning which the mathematical design has a lot of zeros. Multilinear subspace learning algorithms intention to