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.  |