Thanks! I actually didn't know you can do that. :)
On Tue, Apr 9, 2013 at 7:22 PM, Johannes Schulte <johannes.schu...@gmail.com > wrote: > dataPoints can be in memory or from disk, and you can sample the dataPoints > for initialClusters. > > > On Tue, Apr 9, 2013 at 6:16 PM, Johannes Schulte < > johannes.schu...@gmail.com > > wrote: > > > Hi, > > this worked for me without having to fiddle with map reduce classes > > > > List<Cluster> initialClusters = new ArrayList<Cluster>(); > > > > Iterable<Vector> dataPoints = Lists.newArrayList(); > > > > > > ClusterClassifier prior = > > > > new ClusterClassifier(initialClusters, > > > > new KMeansClusteringPolicy(0.01)); > > > > > > ClusterClassifier clustered = > newClusterIterator().iterate(dataPoints, prior, 10); > > > > List<Cluster> finalClusters = clustered.getModels(); > > > > > > On Tue, Apr 9, 2013 at 4:29 PM, Dan Filimon <dangeorge.fili...@gmail.com > >wrote: > > > >> Apologies for not getting back to you more quickly! > >> > >> You can use Mahout KMeansDriver and have it run locally (so not as a > >> MapReduce, but locally). > >> There's a static method KMeansDriver.run() whose last argument is > >> runSequential. You need to set this to true. > >> > >> The thing is it will still read and write the vectors to disk. Is this > >> okay? > >> > >> > >> > >> > >> > >> On Tue, Apr 9, 2013 at 5:24 PM, Ted Dunning <ted.dunn...@gmail.com> > >> wrote: > >> > >> > This seems surprising. > >> > > >> > I don't think we removed it. > >> > > >> > Does anybody know better than I? > >> > > >> > > >> > On Mon, Apr 8, 2013 at 2:16 PM, Ahmet Ylmaz < > >> ahmetyilmazefe...@yahoo.com > >> > >wrote: > >> > > >> > > Hi, > >> > > > >> > > It seems to be that in-memory kmeans clustering is removed from > Mahout > >> > 0.7. > >> > > > >> > > Does this mean that it is no longer possible to do in-memory kmeans > >> > > clustering with Mahout? > >> > > Or, is Hadoop based kmeans clustering the only option? > >> > > > >> > > > >> > > Thanks > >> > > Ahmet > >> > > > >> > > >> > > > > >
