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Add a cluster of points in one corner and watch that corner subdivide deeply while the rest of the space stays untouched. Then scatter a few points across the empty region and watch it split only where needed. The tree grows around the data.

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Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.。爱思助手下载最新版本对此有专业解读

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