On Dec 1, 2011, at 5:02 AM, Steven Bourke wrote: > Sorry I wasn't really following this thread - I've got lots of random throw > away's for gephi visualisations for clustering and graphs (But not mahout > based). Does the patch (https://issues.apache.org/jira/browse/MAHOUT-899) > have an output file that I can use to generate visuals from? I'll can clean > something up and add it to the patch.
It does. Apply the patch and then build. Then use the ClusterDumper. Here's my example: bin/mahout clusterdump --seqFileDir ~/projects/content/apache/sfmum/clustering/kmeans/clusters-2-final/ -o ~/projects/content/apache/sfmum/clustering/kmeans/clusters.graphml -of GRAPH_ML --distanceMeasure org.apache.mahout.common.distance.CosineDistanceMeasure --pointsDir ~/projects/content/apache/sfmum/clustering/kmeans/clusteredPoints/ --dictionaryType sequencefile --dictionary ~/projects/content/apache/sfmum/clustering/seq2sparse/dictionary.file-0 -n 3 -sp 500 > > > On Thu, Dec 1, 2011 at 7:57 AM, Dawid Weiss > <dawid.we...@cs.put.poznan.pl>wrote: > >> This looks great, Ted, thanks for sharing. >> >> Dawid >> >> On Thu, Dec 1, 2011 at 3:32 AM, Ted Dunning <ted.dunn...@gmail.com> wrote: >>> Sure. I attached it, but those get stripped. I didn't realize that this >>> was going to the list. >>> >>> Try here: http://dl.dropbox.com/u/36863361/cluster-viz.r >>> >>> And here for the image: http://dl.dropbox.com/u/36863361/xyz.png >>> >>> On Wed, Nov 30, 2011 at 4:04 PM, Grant Ingersoll <gsing...@apache.org >>> wrote: >>> >>>> Can you share the R code too? >>>> >>>> On Nov 30, 2011, at 2:58 PM, Ted Dunning 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.<xyz.png> >>>>> >>>>> On Tue, Nov 29, 2011 at 8:03 AM, Grant Ingersoll <gsing...@apache.org >>> >>>> 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 < >> 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. >>>>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>> >>>> -------------------------------------------- >>>> Grant Ingersoll >>>> http://www.lucidimagination.com >>>> >>>> >>>> >>>> >> -------------------------------------------- Grant Ingersoll http://www.lucidimagination.com
