Sure, no problem. I'll transfer it.
On Saturday, July 26, 2014 2:29:39 PM UTC-4, Dahua Lin wrote: > > Hi, Art, > > Thanks very much of doing this. The package is excellent! > > I would really appreciate if you may consider moving the package to > JuliaStats for broader participation (I think it is perfectly ready). > > Dahua > > > On Saturday, July 26, 2014 9:38:03 AM UTC-5, [email protected] wrote: >> >> 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 >> >
