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https://issues.apache.org/jira/browse/MAHOUT-843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Paritosh Ranjan updated MAHOUT-843:
-----------------------------------

    Attachment: MAHOUT-843-patch-only-postprocessor-v3

Implemented MapReduce version of Post Processor.

Improved readability of the code as per suggestions. 

Added output option and sequential/mapreduce execution option.

Keeping SequenceFile.Writer in Map and closing them in end which has improved 
performance. This has also fixed the problem mentioned earlier that "The 
clusterData is overriding points". The test case of ClusterOutputProcessor 
demonstrates top down clustering.

Reading clusters from cluster-*-final directory. So, Canopy Clustering would 
need a fix as discussed above.


                
> Top Down Clustering
> -------------------
>
>                 Key: MAHOUT-843
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-843
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Clustering
>    Affects Versions: 0.6
>            Reporter: Paritosh Ranjan
>              Labels: clustering, patch
>             Fix For: 0.6
>
>         Attachments: MAHOUT-843-patch, MAHOUT-843-patch-only-postprocessor, 
> MAHOUT-843-patch-only-postprocessor-v1, 
> MAHOUT-843-patch-only-postprocessor-v2, 
> MAHOUT-843-patch-only-postprocessor-v3, MAHOUT-843-patch-v1, 
> Top-Down-Clustering-patch
>
>
> Top Down Clustering works in multiple steps. The first step is to find 
> comparative bigger clusters. The second step is to cluster the bigger chunks 
> into meaningful clusters. This can performance while clustering big amount of 
> data. And, it also removes the dependency of providing input clusters/numbers 
> to the clustering algorithm.
> The "big" is a relative term, as well as the smaller "meaningful" terms. So, 
> the control of this "bigger" and "smaller/meaningful" clusters will be 
> controlled by the user.
> Which clustering algorithm to be used in the top level and which to use in 
> the bottom level can also be selected by the user. Initially, it can be done 
> for only one/few clustering algorithms, and later, option can be provided to 
> use all the algorithms ( which suits the case ). 

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