MultivariateStats.jl
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A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
This PR resolves #200. It also includes a new exception called `NullMatrixException` which is thrown when a null matrix is detected at run-time. Additionally, Efforts have been made to detect...
The existing code for `SubspaceLDA` fails if for a given input matrix and target, the rank of the between-class covariance matrix is less than the number of classes minus one(i.e...
I try using KernelPCA to transform and reconstruct the data, but original data and reconstruct data is not approx. ``` using Plots,MultivariateStats x = rand(10,100) m = fit(KernelPCA,x;inverse =true y=reconstruct(m,...
This is a start to add factor rotations to MultivariateStats.jl. The implemented algorithm is currently what is described in the review paper Mikkel B. Stegmann, Karl Sjöstrand, Rasmus Larsen, "Sparse...
Related to #186.
The docs for LDA are quite technical but would benefit from some user-friendly explanations of the expected return values of a typical workflow including `predict(lda_results, newdata)` with the same level...
Is there a timeline for the 1.0 release?
Ready for v1.0.0 release - [x] Provide a abstract supertype for multivariate analysis methods (#95) - [x] Provide a simple interface for multivariate analysis methods - [x] `llsq`: deprecate `trans`...
Thank you for your hard work, I really like the new PCA show method. However, if there are more than 10 PC's, there is wild overflow in the REPL. Is...
Provide a separate implementation of PCA whitening similar to `Whitening`, and remove duplicated code: https://github.com/JuliaStats/MultivariateStats.jl/blob/99ee965df3a8e136ff2d0fcb10456b434e1f9001/src/whiten.jl#L148-L159 Note: double `sqrt` application https://github.com/JuliaStats/MultivariateStats.jl/blob/99ee965df3a8e136ff2d0fcb10456b434e1f9001/src/ica.jl#L238-L243 https://github.com/JuliaStats/MultivariateStats.jl/blob/99ee965df3a8e136ff2d0fcb10456b434e1f9001/src/lda.jl#L380-L389