As the title says, how do I calculate a similarity matrix with an un-normalized Student-t kernel? I'm attempting to calculate Kullback-Leibler divergence for different t-SNE runs, but need a Q-matrix for that. A few steps before the Q-matrix, I need the similarity matrices made using the un-normalized Student-t kernel.I'm using r, not sure if that's relevant to an answer.
How do I calculate a similarity matrix with a Student-t kernel?
r;dataset;visualization;similarity;tsne