Shan,
All of Mahout implementations use Hadoop API, but if u r trying to run kmeans
in sequential (non-MapReduce) mode; pass in runSequential = true instead of
false as the last parameter to KMeansDriver.run() or Amit run them in
LOCAL_MODE as pointed out earlier by Amit.
On Sunday, December 1, 2013 10:28 PM, Shan Lu <shanlu...@gmail.com> wrote:
Thanks for your reply. In the example code, they run the k-means algorithm
using org.apache.hadoop.conf.Configuration,
org.apache.hadoop.fs.FileSystem, and org.apache.hadoop.fs.Path parameters.
Is there any algorithm that doesn't need any Configuration and Path
parameter, just use the data in memory? I mean, can I run the k-means
algorithm without using the hadoop api, just using java? Thanks.
On Sun, Dec 1, 2013 at 9:58 PM, Amit Nithian <anith...@gmail.com> wrote:
> When you say without hadoop does that include local mode? You can run these
> examples in local mode that doesn't require a cluster for testing and
> poking around. Everything then runs in a single jvm.
> On Dec 1, 2013 9:18 PM, "Shan Lu" <shanlu...@gmail.com> wrote:
>
> > Hi,
> >
> > I am working on a very simple k-means clustering example. Is there a way
> to
> > run clustering algorithms in mahout without using Hadoop? I am reading
> the
> > book "Mahout in Action". In chapter 7, the hello world clustering code
> > example, they use
> > ==
> >
> > KMeansDriver.run(conf, new Path("testdata/points"), new
> > Path("testdata/clusters"),
> > new Path("output"), new EuclideanDistanceMeasure(), 0.001, 10,
> > true, false);
> >
> > ==
> > to run the k-means algorithm. How can I run the k-means algorithm without
> > Hadoop?
> >
> > Thanks!
> >
> > Shan
> >
>
--
Shan Lu
ECE Dept., NEU, Boston, MA 02115
