Like the N-closest algorithm, the weight of each candidate is given by the inverse of its distance to the input colour. Because of this, both algorithms produce output of a similar quality, although the N-convex method is measurably faster. As with the last algorithm, more details can be found in the original paper[2].
Comparison of the N-closest and N-convex algorithms using an 8-colour irregular palette with . Left to right: N-closest, N-convex.
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