http://statwww.epfl.ch/davison/teaching/Microarrays/lab/clustering.html

http://research.nhgri.nih.gov/microarray/Gene_Expression_Supplement/

This provides some sample micro array data with a lab project for clustering
the data.

On Wed, May 21, 2008 at 10:44 AM, Ted Dunning <[EMAIL PROTECTED]> wrote:

>
> Sorry, didn't mean to sound like that.
>
> I am happy to build the data sets!
>
> I can also demo R for you this evening.
>
>
> On Wed, May 21, 2008 at 10:36 AM, Jeff Eastman <
> [EMAIL PROTECTED]> wrote:
>
>> Ok, ok, UNCLE!
>>
>> Things to do:
>> - Install R
>> - Learn R
>>
>> Now I have at least two reasons to do that<grin>
>> Jeff
>>
>>
>>
>> Ted Dunning wrote:
>>
>>> It is also the work of a moment to build some synthetic data sets using
>>> R.
>>> Real data is cooler, though.
>>>
>>> On Wed, May 21, 2008 at 10:25 AM, Jeff Eastman <
>>> [EMAIL PROTECTED]> wrote:
>>>
>>>
>>>
>>>> Thanks, Ted, and most are small enough to run on a single node. I'm
>>>> investigating further...
>>>>
>>>> Jeff
>>>>
>>>>
>>>> Ted Dunning wrote:
>>>>
>>>>
>>>>
>>>>> Do these 5 suffice:
>>>>>
>>>>>
>>>>>
>>>>> http://archive.ics.uci.edu/ml/datasets.html?format=&task=clu&att=&area=&numAtt=&numIns=&type=&sort=attUp&view=table
>>>>>
>>>>> The classification data sets are also reasonable to try with
>>>>> clustering.
>>>>> The Irises dataset and the Japanese vowels are both plausible for
>>>>> clustering
>>>>> (inter alia, of course).
>>>>>
>>>>> On Wed, May 21, 2008 at 8:10 AM, Jeff Eastman <
>>>>> [EMAIL PROTECTED]> wrote:
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>> Does anybody have some links to datasets we can use for clustering
>>>>>> examples? I'm thinking we could publish an EC2 AMI that includes
>>>>>> Hadoop
>>>>>> and
>>>>>> Mahout, along with a script to deploy it on a cluster, upload the
>>>>>> examples
>>>>>> and run clustering on it. Is that too ambitious? I'm kinda hoping that
>>>>>> we
>>>>>> can use 0.17 which advertises simpler EC2 deployment than 0.16. If
>>>>>> that
>>>>>> won't meet our schedule then maybe I should work through the 0.16
>>>>>> deployment.
>>>>>>
>>>>>> Jeff
>>>>>>
>>>>>>
>>>>>> Grant Ingersoll wrote:
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>>> I was thinking we should get the Taste stuff in (seems to be pretty
>>>>>>> close
>>>>>>> to done) and I would like to get Mahout-9 (Naive Bayes) in.  This
>>>>>>> would
>>>>>>> give
>>>>>>> us a pretty nice release, I think.  Namely, a couple of clustering
>>>>>>> implementations, a classifier, and, of course, Taste.  I think I can
>>>>>>> finish
>>>>>>> up my part in the next week or so.  Then, we will need to start to
>>>>>>> figure
>>>>>>> out all the fun of releases (signatures, notices.txt, etc.)  I'd also
>>>>>>> like
>>>>>>> to see us have an easy to use demo of the clustering stuff, but it is
>>>>>>> all
>>>>>>> right if we don't.
>>>>>>>
>>>>>>> -Grant
>>>>>>>
>>>>>>> On May 21, 2008, at 1:23 AM, Sean Owen wrote:
>>>>>>>
>>>>>>>  Just curious, what are people thinking about the timeline for a
>>>>>>> first,
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>> very early release, like an 0.1 release? any open tasks that I could
>>>>>>>> pick up to help?
>>>>>>>>
>>>>>>>> Without rushing anything, I'm keen to retire my current project site
>>>>>>>> and forward everybody that's interested to Mahout. As long as
>>>>>>>> there's
>>>>>>>> a .jar distro someone can pick up and use, that's cool.
>>>>>>>>
>>>>>>>> Sean
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>
>>>
>>>
>>>
>>
>>
>
>
> --
> ted
>
>


-- 
ted

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