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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-v4

Added test case for ClusterCountReader. Improved assertions of top down 
clustering.

Tested Cluster Output post processor for sequential as well as MapReduce using 
K-Means algorithm. Works fine. 

I have not moved the part files to specific directories yet. Waiting for your 
suggestion on that. To me, it looks like keeping the clusters in the part files 
itself is not a problem. As it will save a processing step and increase 
performance. 
                
> 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-only-postprocessor-v4, 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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