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You compute 'centroids' which denote the centers of the clusters, but you don't have to change the values of all points to the centers of the clusters. In othe
by gburt 15y ago
You compute 'centroids' which denote the centers of the clusters, but you don't have to change the values of all points to the centers of the clusters.
In other words, you can maintain the detail in RGB space (as this author has) while reorganizing things in location space by their k-means clusters.
- Newky 15y agoI understand this, but does this mean that it is bi-directional in that a change to one of the palettes would reflect in the image. This is what I understood from the comment. If so, how does this work? Sorry for any misinformation in my comment