Finds the normalised cut across the best hyperplane orthogonal to a given projection vector. Used as projection index for projection pursuit to find minimum normalised cut hyperplanes.
f_ncut(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) $s (positive numeric scaling parameter), $nmin (positive integer minimum cluster size)
the value of the normalised cut across the best hyperplane orthogonal to v