Description Usage Arguments Value
Finds the gradient of the normalised cut across the best hyperplane orthogonal to a given projection vector. Used to obtain minimum normalised cut hyperplanes using gradient based optimisation.
1 | df_ncut(v, X, P)
|
v |
a numeric vector of length ncol(X) |
X |
a numeric matrix (num_data x num_dimensions) to be projected on v |
P |
a list of parameters including (at least) $s (positive numeric scaling parameter), $nmin (positive integer minimum cluster size). |
the (vector) gradient of the normalised cut across the best hyperplane orthogonal to v.
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