cuml.manifold#
Uniform Manifold Approximation and Projection |
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t-SNE (T-Distributed Stochastic Neighbor Embedding) is an extremely powerful dimensionality reduction technique that aims to maintain local distances between data points. |
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Spectral embedding for non-linear dimensionality reduction. |
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Project the sample on the first eigenvectors of the graph Laplacian. |
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Given a set of data X, a neighborhood size, and a measure of distance compute the fuzzy simplicial set (here represented as a fuzzy graph in the form of a sparse matrix) associated to the data. |
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Perform a fuzzy simplicial set embedding, using a specified initialisation method and then minimizing the fuzzy set cross entropy between the 1-skeletons of the high and low dimensional fuzzy simplicial sets. |
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Fit a & b parameters for UMAP. |