Thanks for the prompt reply Paritosh. Could you please explain it a bit further? How does it depend?
Thanks & Regards, Rahul On Thu, Nov 1, 2012 at 8:44 PM, paritosh ranjan <[email protected]>wrote: > Each iteration will add a single point to the evolving list of > representative points for each cluster. > So, I think it depends on the number of vectors per cluster and also the > intra cluster distance. > > On Thu, Nov 1, 2012 at 8:13 PM, Rahul Mishra <[email protected] > >wrote: > > > Hello Friends, > > > > Whats the heuristic for providing what number of iterations for > > RepresentativePointsDriver? > > > > I have run kmeans and fuzzy-kmeans algorithm on a dataset of size 500MB. > > Now, how do I obtain cluster quality? > > > > Does the following look Okay? : > > RepresentativePointsDriver.run(conf, new Path(clustersIn), new > > Path(clusteredPointsIn), new Path(outputDir), new > > EuclideanDistanceMeasure(), numIterations, runSequential); > > double interDis = clusterEval.interClusterDensity(); > > double intraDis = clusterEval.intraClusterDensity(); > > System.out.println("cluster evaluator: The inter distance: "+interDis); > > System.out.println("cluster evaluator: The intra distance: "+intraDis); > > > > > > > > -- > > Regards, > > Rahul K Mishra, > > https://sites.google.com/site/reachrahulkmishra/ > > > -- Regards, Rahul K Mishra, https://sites.google.com/site/reachrahulkmishra/
