After deprecation of DimensionalityReduction.jl, I moved my work on
nonlinear dimensionality reduction techniques into new package:
ManifoldLearning.jl. Following the excellent example for the package
development, i.e. MultivariateStats
<https://github.com/JuliaStats/MultivariateStats.jl>, my package has API
consistent with JuliaStats guideline, documentation and tests.
Currently, the following methods have been implemented:
Isomap
Diffusion maps
Locally Linear Embedding (LLE)
Hessian Eigenmaps (HLLE)
Laplacian Eigenmaps (LEM)
Local tangent space alignment (LTSA)
Github Address: https://github.com/wildart/ManifoldLearning.jl
Documentation:
http://manifoldlearningjl.readthedocs.org/en/latest/index.html
The package has been registered at METADATA.
-- Art
