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Date: Wed, 2 Feb 2011 00:29:51 +0530
Message-ID: <AANLkTin8402P0FUQFLTS0gyJke+8JMd4TBfzh7_=BK4s@mail.gmail.com>
Subject: Re: Incremental data stream clustering.
From: vineet yadav <vineet.yadav.iiit@gmail.com>
To: user@mahout.apache.org
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Hi Sarath,
In mahout k-mean clustering, sequence file of  initial cluster center is
passed as a argument. You can run k-mean clustering algorithm incrementally.
During each pass of k-mean clustering, you can pass cluster which are
computed in earlier  stage of k-mean clustering  as initial cluster centers.
But you need to make sure documents/posts in each pass are related for
better result.
Thanks
Vineet Yadav

On Tue, Feb 1, 2011 at 11:58 PM, sharath jagannath <
sharathjagannath@gmail.com> wrote:

> Hey All,
>
> Another new bie to mahout.
> I want to implement a system that clusters incoming data stream.
> went through mahout clustering tutorials but I am still not sure how to
> handle dynamic evolution of the cluster in mahout.
> To be specific, I am trying to cluster the content from a RSS feed and not
> sure how I should be using mahout to achieve it, are mahout clustering
> algorithms incremental?
>
> I was looking at interfaces like weka's incremental cluster in mahout to
> achieve this and I am lost :D.
> All help is much appreciated.
>
>
> Thanks,
> Sharath
>

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