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The manifold hypothesis proposes that high-dimensional information sets lie alongside low-dimensional manifolds, and lots of dimensionality reduction tactics make this assumption, leading to the world of manifold learning and manifold regularisation.Similarity learning is a location of supervised machine learning intently linked to regression and c