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From Suneel Marthi <suneel_mar...@yahoo.com>
Subject Re: Clustering without Hadoop
Date Mon, 02 Dec 2013 03:42:45 GMT
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 <shanlu715@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 <anithian@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" <shanlu715@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
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