sklearn.manifold#
Data embedding techniques.
User guide. See the Manifold learning section for further details.
Isomap Embedding. |
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Locally Linear Embedding. |
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Multidimensional scaling. |
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Spectral embedding for non-linear dimensionality reduction. |
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T-distributed Stochastic Neighbor Embedding. |
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Perform a Locally Linear Embedding analysis on the data. |
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Compute multidimensional scaling using the SMACOF algorithm. |
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Project the sample on the first eigenvectors of the graph Laplacian. |
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Indicate to what extent the local structure is retained. |