Good day.
My name is Yuriy. I'm working as engineer in Rambler Internet Holding.

We have just started our experiments with Mahout from KMeans clustering on
5 machines.

And we have some questions about clustering algorithms on Mahout:

1. How we can use labels in our vectors to identify data after clustering?

2. How we can read coordinates of cluster centers?

P.S. Can we participate to implementation of that interface and send you
patch, if it is not implemented now?

Thanks. Waiting for reply. :)

I think clusterdump from command line will do your two questions.
On Sat, Apr 28, 2012 at 6:19 AM, Юрий Басов <[EMAIL PROTECTED]> wrote:
> Good day.
> My name is Yuriy. I'm working as engineer in Rambler Internet Holding.
>
> We have just started our experiments with Mahout from KMeans clustering on
> 5 machines.
>
> And we have some questions about clustering algorithms on Mahout:
>
> 1. How we can use labels in our vectors to identify data after clustering?
>
> 2. How we can read coordinates of cluster centers?
>
> P.S. Can we participate to implementation of that interface and send you
> patch, if it is not implemented now?
>
> Thanks. Waiting for reply. :)

Yuriy,

Take a look at https://github.com/tdunning/knn to see some upcoming k-means
stuff that may help you out with respect to speed.

On Sat, Apr 28, 2012 at 11:19 AM, Юрий Басов <[EMAIL PROTECTED]> wrote:

> Good day.
> My name is Yuriy. I'm working as engineer in Rambler Internet Holding.
>
> We have just started our experiments with Mahout from KMeans clustering on
> 5 machines.
>
> And we have some questions about clustering algorithms on Mahout:
>
> 1. How we can use labels in our vectors to identify data after clustering?
>
> 2. How we can read coordinates of cluster centers?
>
> P.S. Can we participate to implementation of that interface and send you
> patch, if it is not implemented now?
>
> Thanks. Waiting for reply. :)
>

Mahout is missing integration tools, this is true. Data have to be
converted to Mahout-accepted input. One way of doing it is outlined below:

1) collect unique terms from your data and make the dictionary of terms.
This can be done by any means, e.g. Hadoop streaming job in 2 steps -
collect unique terms and make dictionary. The dictionary should be
something like this:
file: $dictionary
<term> <id>
...
where ids are incremental - 1,2,3,...
2) convert terms to incremental ids (dimentions) in your data and output it
as SequenceFile of RandomAccessSparseVectors - starndard Mahout input
for clustering algorithms. This requires writing Mahout java driver.
3) run Mahout clustering algorithms, it output $clusters and $points. Make
sure to output --clusters.
4) Run clusterdump using $dictionary generated in 1):
$MAHOUT_HOME/bin/mahout clusterdump \
        --seqFileDir $clusters \
        --pointsDir  $points \
        --dictionary $dictionary \
        --dictionaryType "text" \
        --output     $output
Steps 1) and 2) are steps necessary to integrate with Mahout, steps 3) and
4) are Mahout tools.

Best

On Sat, Apr 28, 2012 at 12:50 PM, Ted Dunning <[EMAIL PROTECTED]> wrote:

> Yuriy,
>
> Take a look at https://github.com/tdunning/knn to see some upcoming
> k-means
> stuff that may help you out with respect to speed.
>
> On Sat, Apr 28, 2012 at 11:19 AM, Юрий Басов <[EMAIL PROTECTED]>
> wrote:
>
> > Good day.
> > My name is Yuriy. I'm working as engineer in Rambler Internet Holding.
> >
> > We have just started our experiments with Mahout from KMeans clustering
> on
> > 5 machines.
> >
> > And we have some questions about clustering algorithms on Mahout:
> >
> > 1. How we can use labels in our vectors to identify data after
> clustering?
> >
> > 2. How we can read coordinates of cluster centers?
> >
> > P.S. Can we participate to implementation of that interface and send you
> > patch, if it is not implemented now?
> >
> > Thanks. Waiting for reply. :)
> >
>

--
ksh: