Finds the variance ratio clusterability measured across the best hyperplane orthogonal to a given projection vector. Used as projection index for projection pursuit to find maximum clusterability hyperplanes.
f_mc(v, X, P)
a numeric vector of length ncol(X)
a numeric matrix (num_data x num_dimensions) to be projected on v
a list of parameters including (at least) $nmin (positive integer minimum cluster size)
the value of the variance ratio across the best hyperplane orthogonal to v