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Unsupervised Learning Part 2: "UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. [... It] is a practical scalable algorithm [...,] is competitive with t-SNE for visualization quality, and arguably preserves more of the global structure with superior run time performance. Furthermore, UMAP has no computational restrictions on embedding dimension, making it viable as a general purpose dimension reduction technique for machine learning" (https://arxiv.org/abs/1802.03426).

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