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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:

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Waits, meanwhile, is dressed in battered striped pants, a hoodie, and has a head of hair that's not seen a brush or a bit of product in ages. Their dad's home is cluttered with books and laundry, as if in the wake of their mother's death years before he can barely care for himself. However, there are hints that their father (who goes unnamed) has a life outside of their understanding of him, like the glistening Rolex on his wrist.

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