I have clusterized a few documents using fuzzy clustering, so now i have a
large amount of clusters with the id of the documents contained in each one.

In order to give some structure to this data, I have used the
ClusterOutputPostProcessorDriver class to discover the overlaps between
clusters, but its a low level solution because if cluster A overlaps with
cluster B, then cluster B overlaps with A too, so its a little difficult to
stablish a hierarchy. I would like to know if theres a simple way to obtain
the cluster tree of this data.

I am using mahout v0.5. Sorry for my english.

[http://www.cs.nyu.edu/~davise/om-dist/node4.html]

Do you want a hierarchy without overlap?
If yes, then you should not use FuzzyK, or use it only at the lowest level.

Clustering Algorithm on parent data -> ClusterOutputPostProcessorDriver
-> Clustering Algorithm on sub clusters ->
ClusterOutputPostProcessorDriver -> Clustering Algorithm on sub clusters ...

That's how it is supposed to work. You can use different clustering
algorithms at different levels.

On 20-04-2012 17:06, ivan obeso wrote:
> I have clusterized a few documents using fuzzy clustering, so now i have a
> large amount of clusters with the id of the documents contained in each one.
>
> In order to give some structure to this data, I have used the
> ClusterOutputPostProcessorDriver class to discover the overlaps between
> clusters, but its a low level solution because if cluster A overlaps with
> cluster B, then cluster B overlaps with A too, so its a little difficult to
> stablish a hierarchy. I would like to know if theres a simple way to obtain
> the cluster tree of this data.
>
> I am using mahout v0.5. Sorry for my english.
>
> [http://www.cs.nyu.edu/~davise/om-dist/node4.html]
>

And ClusterOutputPostProcessorDriver was introduced in Mahout 0.6, it
should not be available in 0.5.

On 20-04-2012 21:18, Paritosh Ranjan wrote:
> Do you want a hierarchy without overlap?
> If yes, then you should not use FuzzyK, or use it only at the lowest
> level.
>
> Clustering Algorithm on parent data ->
> ClusterOutputPostProcessorDriver -> Clustering Algorithm on sub
> clusters -> ClusterOutputPostProcessorDriver -> Clustering Algorithm
> on sub clusters ...
>
> That's how it is supposed to work. You can use different clustering
> algorithms at different levels.
>
> On 20-04-2012 17:06, ivan obeso wrote:
>> I have clusterized a few documents using fuzzy clustering, so now i
>> have a
>> large amount of clusters with the id of the documents contained in
>> each one.
>>
>> In order to give some structure to this data, I have used the
>> ClusterOutputPostProcessorDriver class to discover the overlaps between
>> clusters, but its a low level solution because if cluster A overlaps
>> with
>> cluster B, then cluster B overlaps with A too, so its a little
>> difficult to
>> stablish a hierarchy. I would like to know if theres a simple way to
>> obtain
>> the cluster tree of this data.
>>
>> I am using mahout v0.5. Sorry for my english.
>>
>> [http://www.cs.nyu.edu/~davise/om-dist/node4.html]
>>
>