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Manifold learning algorithms try to accomplish that under the constraint that the figured out illustration is small-dimensional. Sparse coding algorithms try and do so beneath the constraint that the realized representation is sparse, indicating the mathematical design has several zeros. Multilinear subspace learning algorithms goal to understand s