Re: GSoC project: K-medoids clustering in Madlib

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On 20-Apr-2013, at 16:11, Maxence AHLOUCHE <maxence(dot)ahlouche(at)gmail(dot)com> wrote:

> Oops, forgot to attach the output!
>
>
> 2013/4/20 Maxence AHLOUCHE <maxence(dot)ahlouche(at)gmail(dot)com>
>> Hi all!
>>
>> I've had a bit of fun with the k-means clustering, and have made a small script to visualize the result of the classification.
>> However, I couldn't guess how to assign a cluster to a point from the output of the algorithm, could someone give me an indication, please?
>>
>> My script is written in python3, and uses py-postgresql (http://python.projects.pgfoundry.org/) as PostgreSQL interface. It also requires Pillow (a PIL fork) which you can find here : https://pypi.python.org/pypi/Pillow/2.0.0.
>>
>> Before your first use, you may want to change the settings (on top of the file) to connect to your PostgreSQL server.
>> The script will create a table in your database, populate it with random groups of points, and then call the k-means algorithm on it. Finally, it will generate a PNG image, displaying the points and the centroids.
>>
>> For a first run, use something like this:
>> ./k-means_test.py --regen -o clustered_data.png
>>
>> You can call "./k-means_test.py -h" for a list of available options.
>>
>> In attachment are my script and an example of its output.
>>
>> By the way, I'll have a lot of work next week, as I have several exams coming and a big project to do (about empirical orthogonal functions), so I'll probably be inactive for a few days! Then I'll be on holidays, so I will be able to focus on MADlib and GSoC :)
>>
>> Regards,
>> Maxence
>>
>>
>>

Very interesting! The results look encouraging,although this is on Python :)

Good work!

Regards,

Atri