pub fn to_gaussian_similarity<F: Float>(
    observations: &ArrayBase<impl Data<Elem = F>, Ix2>,
    eps: F,
    dist_fn: &impl Distance<F>
) -> Array2<F>
Expand description

Computes a similarity matrix with gaussian kernel and scaling parameter eps

The generated matrix is a upper triangular matrix with dimension NxN (number of observations) and contains the similarity between all permutations of observations similarity