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by consilient
1040 days ago
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> It seems to be some kind of multivariate PCA. No, UMAP is nonlinear. The general idea is that you generate a neighborhood graph of your data points, do a spectral embedding on that to get your initial result, and then do gradient descent to make its neighborhood graph closer to the high-dimensional one. |
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