Creates a configuration object for computing Euclidean dissimilarity.
Pass the result to dissimilarity() to compute the dissimilarity
matrix.
The scaled Euclidean dissimilarity between two observations x_ix_i and
x_jx_j is:
d(x_i, x_j) = 1p _k=1^p(x_i,k - x_j,k)^2d(x_i, x_j) = sqrt(1/p * sum_k (x_i,k - x_j,k)^2)
where pp is the number of variables. Results are equivalent to
stats::dist() but scaled by 1/p1/p.