Kernalized tsne

A simple alternative implementation of Laurens van der Maaten t-Distributed Stochastic Neighbor Embedding (t-SNE) , with use of kernals.

equations

• joint probability pij

  

• joint probability qij

  

• Cost

  

• gradient

  

• gradient update

  

for more information read the PDF file included.

Apart from pca, available kernels are:

• iquad
• cauchy
• fourier
• rbf
• poly
• cosine
• anova

you can add new/own kernel and test it, make sure to tune the parameters in f_opts to get better results!

License : MIT and you are free to do what ever you want with it !