| 1 | <h1>Parallel clustering with k-medoids algorithm</h1> |
| 2 | |
| 3 | <p>This C program runs the k-medoid algorithm on several subsets of one (presumably big) dataset. |
| 4 | The computed medoids are then merged iteratively, until we get a final set of k centers.</p> |
| 5 | |
| 6 | <hr/> |
| 7 | |
| 8 | <p>The folder "communication/" contains latex sources (and generated pdf files) of a short paper submitted |
| 9 | to the Journées de Statistique in Rennes, France (2014), and also the slides presented at this event.</p> |
| 10 | |
| 11 | <p>The other folder contains all the C code; but not the EDF (french electricity company) datasets, because they |
| 12 | are not public. Since the (de)serialization process in code/src/TimeSeries/ is tailored for these data, |
| 13 | it is necessary to adapt this small part of the code to use any other custom time-series files.</p> |