I shouldn't even be surprised at this point, Dahua, but I'm still impressed – this is quite a spectacular list of algorithms. I wish I had these in Matlab or R years ago.
On Fri, Jul 18, 2014 at 6:13 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 > >
