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Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey
[article]
2021
arXiv
pre-print
Uniform Manifold Approximation and Projection (UMAP) is one of the state-of-the-art methods for dimensionality reduction and data visualization. This is a tutorial and survey paper on UMAP and its variants. We start with UMAP algorithm where we explain probabilities of neighborhood in the input and embedding spaces, optimization of cost function, training algorithm, derivation of gradients, and supervised and semi-supervised embedding by UMAP. Then, we introduce the theory behind UMAP by
arXiv:2109.02508v1
fatcat:hjffgntw2vbhzpio6ydhboqv3m