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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:
"Reddit's biggest weakness is that credibility can look like consensus, like most other social media sites and their algorithms," says Dr Yusuf Oc, senior lecturer in marketing at Bayes Business School in London.