Hi Florents,
it just became different but still works without hdfs, i also had trouble
getting the right classes together but here is something that will
hopefully work correctly:
DistanceMeasure measure = new CosineDistanceMeasure();
// ClusterUtils is no mahout class
List<Cluster> initialClusters = ClusterUtils.getInitialClusters(points,
k, measure);
System.out.println("going ma d!");
ClusterClassifier prior =
new ClusterClassifier(initialClusters,
newKMeansClusteringPolicy(0.01));
ClusterClassifier clustered = ClusterIterator.iterate(points,
prior, 10);
System.out.println(clustered.getModels());
List<Cluster> finalClusters = clustered.getModels();
Cheers,
Johannes
On Mon, Nov 12, 2012 at 11:55 PM, Florents Tselai <[email protected]
> wrote:
> Hello,
>
> I'm working on market basket data clustering and I'd like to know the
> fastest(quick and dirty) way to use mahout.
>
> Specifically, Is it possible to run Kmeans or EM without having a HDFS
> configured?
>
> If I'm not wrong Mahout 0.5 Kmeans implementation didn't require HDFS but
> the latest version does.
>
