RE: Linear Approximation - Introduction and Examples
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Interesting. I had not worked on such a problem before. But searching online, I believe this "K-Means method" may be what you are looking for: https://muthu.co/reduce-the-number-of-colors-of-an-image-using-k-means-clustering/
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Yeah it is similar it works with defining kind of clusters too yet it happens to add random variables and add similar entry around those random points, rather with binary reduction it's fast and deterministic but you have a lot of blending operation to do per clusters...