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From "Jeff Eastman (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-843) Top Down Clustering
Date Fri, 09 Dec 2011 23:04:40 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13166646#comment-13166646
] 

Jeff Eastman commented on MAHOUT-843:
-------------------------------------

I fixed the duplication.

On the wiki page,it states that "So, all clustering algorithms available in Mahout, other
than the MinHash Clustering algorithm ( which is a "Bottom Up" Clustering Algorithm ), are
suitable...). I don't believe this is true. Seems to me that any clustering algorithm should
be usable in either/any step. Any clustering algorithm which operates upon Vectors and produces
WeightedVectorWritables can be used. Isn't that the real criteria?

Finally, it would be nice to see a CLI example ;-)
                
> 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
>            Assignee: Jeff Eastman
>              Labels: clustering, patch
>             Fix For: 0.6
>
>         Attachments: MAHOUT-843-patch, MAHOUT-843-patch-only-postprocessor, MAHOUT-843-patch-only-postprocessor-final,
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-only-postprocessor-v5, 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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