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UMAP is a dimension reduction technique for visualization and general non-linear dimension reduction, based on assumptions of uniform data distribution on a Riemannian manifold. The algorithm models the manifold with a fuzzy topological structure and finds a low-dimensional projection with the closest equivalent structure.
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