This function gets the matrix of square norms which is needed for all kernels. Calculating this can help to save time if you are also interested in calculating the median heuristic, handling multiple tuning parameters or trying other kernels.
An N by d matrix of samples from the target
The (optional) sample indices to be used in the Nystrom approximation (for when using aSECF).
An N by N matrix of squared norms between samples (or N by m where m is the length of
Leah F. South
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