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Date: Sun, 2 Oct 2011 14:06:28 +0530
From: Paritosh Ranjan <pranjan@xebia.com>
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To: <user@mahout.apache.org>
Subject: Re: Difference in results : Clustering : sequential and MapReduce
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Even run() of CanopyDriver, which takes only T1 and T2 is giving 
different results for sequential and mapreduce.
This is preventing me from scaling up, as I need to run mapreduce on 
hadoop to scale.

Is anyone having any idea of this problem?

On 02-10-2011 00:27, Paritosh Ranjan wrote:
> Hi,
>
> I am able to cluster correctly sequentially, using CanopyDriver.
>
> However, the same dataset, when processed as a MapReduce job, where ( 
> t1 = t3 and t2 = t4 and t1>t2) is not working. I am getting errors 
> like Canopies are empty.
>
> I also tried to reduce the values of t3 and t4. But reducing it either 
> has no effect or gives meaningless results.
>
> Am I doing something wrong? or is there a bug somewhere?
>
> I feel that both, sequential and MapReduce should give similar 
> results. But, It is not happening.
>
> Thanks and Regards,
> Paritosh
>
>
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