Coloring is pretty easy in R, which is what I use. I just build a color map with the right number of indices and use the cluster id to index the colormap. For grins, I vary the transparency according to how seriously down-sampled the cluster is. That lets me get a good visual feel for the actual cluster size.
On Tue, Nov 29, 2011 at 5:03 AM, Grant Ingersoll <gsing...@apache.org>wrote: > Anyone have an easy algorithm for coloring clusters in a nice way? That > is, given k clusters, color each centroid and all of it's associated points > in such a way that it is visually appealing and avoids, to the extent it > can, coloring two unique clusters the same color. >
