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Manifold learning (ML) is a research topic of great interest in the field of machine learning that aims to determine the appropriate low-dimensional embeddings of data. The embeddings should preserve the intrinsic structure of the data manifold. Many ML techniques have been proposed to learn the underlying manifold of data. It is crucial to effectively evaluate the quality of the corresponding embedding...
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