1 <h1>Parallel clustering with a k-medoids algorithm
</h1>
3 <p>Joint work with
<a href=
"http://eric.univ-lyon2.fr/~jcugliari/">Jairo Cugliari
</a>.
</p>
7 <p>This C program runs the k-medoid algorithm on several subsets of one (presumably big) dataset.
8 The computed medoids are then merged iteratively, until we get a final set of k centers.
</p>
12 <p>The folder "communication/" contains latex sources (and generated pdf files) of a short paper submitted
13 to the Journées de Statistique in Rennes, France (
2014), and also the slides presented at this event.
</p>
15 <p>The other folder contains all the C code; but not the EDF (french electricity company) datasets, because they
16 are not public. Since the (de)serialization process in code/src/TimeSeries/ is tailored for these data,
17 it is necessary to adapt this small part of the code to use any other custom time-series files.
</p>