Nice! it is very obvious i cannot avoid learning R (sigh).
On Wed, Nov 30, 2011 at 2:58 PM, Ted Dunning <[email protected]> wrote: > Here is some that I just whipped up. I have also attached an example of > the output. > > In the sample output, notice how you can see different stories about what > clusters the brown-ish and purple clusters are near.[image: xyz.png] > > > On Tue, Nov 29, 2011 at 8:03 AM, Grant Ingersoll <[email protected]>wrote: > >> I'm still learning R, do you have code handy you could share? >> >> On Nov 29, 2011, at 6:25 AM, Ted Dunning wrote: >> >> > 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 <[email protected] >> >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. >> >> >> >> >> >> >> >
