Looks like I have to move manifold learning methods from DimensionalityReduction to somewhere else.
-- Art On Friday, July 18, 2014 10:13:16 PM UTC-4, Dahua Lin wrote: > > John, > > I guess what you intended to say is to deprecate DimensionalityReduction > (instead of "deprecate MultivariateStats") ? > > Dahua > > > On Friday, July 18, 2014 9:11:08 PM UTC-5, John Myles White wrote: >> >> This is really great, Dahua. We should probably deprecate >> MultivariateStats, which was always pretty unreliable. >> >> -- John >> >> On Jul 18, 2014, at 9:13 PM, Dahua Lin <[email protected]> wrote: >> >> Recently, I developed a new package for Julia (under JuliaStats): >> MultivariateStats <https://github.com/JuliaStats/MultivariateStats.jl>, >> for multivariate statistical analysis. >> >> Currently, the following functionalities have been implemented: >> >> - Data Whitening >> - Principal Component Analysis (PCA) >> - Canonical Correlation Analysis (CCA) >> - Classical Multidimensional Scaling (MDS) >> - Linear Discriminant Analysis (LDA) >> - Multiclass LDA >> - Independent Component Analysis (ICA), FastICA >> >> Github Address: https://github.com/JuliaStats/MultivariateStats.jl >> Documentation: >> http://multivariatestatsjl.readthedocs.org/en/latest/index.html >> >> This package is supposed to supersede DimensionalityReduction.jl, and it >> is featured with more consistent API, optimized implementation, thorough >> documentation, and extensive testing. >> >> The package has already been registered at METADATA. Please check out and >> enjoy! >> >> Cheers, >> Dahua >> >> >>
