The value of b which minimises the normalised cut across the hyperplane H(v, b) = [x : v'x = b]. If v is a locally optimal solution for the projection index f_ncut then H(v, b) is a locally optimal hyperplane.
ncut_b(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 b given in the description.