[GSoC] Clustering in MADlib - status update

Hi,

Here is my first report. You can also find it on my Gitlab [0].
Week 1 - 2014/05/25

For this first week, I have written a test script that generates some
simple datasets, and produces an image containing the output of the MADlib
clustering algorithms.

This script can be called like this:

./clustering_test.py new ds0 -n 8 # generates a dataset called "ds0"
with 8 clusters
./clustering_test.py query ds0 -o output.png # outputs the result of
the clustering algorithms applied to ds0 in output.png

See ./clustering_test.py -h for all the available options.

An example of output can be found here
[1].<http://git.viod.eu/viod/gsoc_2014/blob/master/clustering_test/example_dataset.png>

Of course, I will keep improving this test script, as it is still far from
perfect; but for now, it does approximately what I want.

For next week, I'll start working on the implementation of k-medoids in
MADlib. As a reminder, according to the timeline I suggested for the
project, this step must be done on May 30. Depending on the problems I will
face (mostly lack of knowledge of the codebase, I guess), this might not be
finished on time, but it should be done a few days later (by the end of
next week, hopefully).

Attached is the patch containing everything I have done this week, though
the git log might be more convenient to read.

Regards,

Maxence A.

[0] http://git.viod.eu/viod/gsoc_2014/blob/master/reports.rst
[1]
http://git.viod.eu/viod/gsoc_2014/blob/master/clustering_test/example_dataset.png

--
Maxence Ahlouche
06 06 66 97 00