sklearn.manifold#

Data embedding techniques.

User guide. See the Manifold learning section for further details.

ClassicalMDS

Classical multidimensional scaling (MDS).

Isomap

Isomap Embedding.

LocallyLinearEmbedding

Locally Linear Embedding.

MDS

Multidimensional scaling.

SpectralEmbedding

Spectral embedding for non-linear dimensionality reduction.

TSNE

T-distributed Stochastic Neighbor Embedding.

locally_linear_embedding

Perform a Locally Linear Embedding analysis on the data.

smacof

Compute multidimensional scaling using the SMACOF algorithm.

spectral_embedding

Project the sample on the first eigenvectors of the graph Laplacian.

trustworthiness

Indicate to what extent the local structure is retained.