  In this note, we study the n x n random Euclidean matrix whose entry (i,j) is
equal to f (|| Xi - Xj ||) for some function f and the Xi's are i.i.d.
isotropic vectors in Rp. In the regime where n and p both grow to infinity and
are proportional, we give some sufficient conditions for the empirical
distribution of the eigenvalues to converge weakly. We illustrate our result on
log-concave random vectors.
