ManifoldLearning

ManifoldLearning.jl is a Julia package for manifold learning and nonlinear dimensionality reduction. It provides methods including Isomap, diffusion maps, locally linear embedding, Hessian eigenmaps, Laplacian eigenmaps, local tangent space alignment and t-SNE. Most methods use k-nearest neighbors to construct local subspace representation, and a custom k-nearest neighbors function is suggested for large datasets.

GitHub repo Directory import
0 shouts Added Sep 23, 2026 github.com
github.com/wildart/ManifoldLearning.jl
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Features

  • A Julia package for manifold learning and nonlinear dimensionality reduction Source: github.com

Limitations

  • By default, neighbors are computed from a distance matrix of a dataset Source: github.com

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