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Manifold learning algorithms try and accomplish that beneath the constraint which the realized representation is reduced-dimensional. Sparse coding algorithms try to achieve this underneath the constraint which the acquired illustration is sparse, meaning which the mathematical model has quite a few zeros. Multilinear subspace learning algorithms p