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[ppam-mpi.git] / README.html

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-<h1>Parallel clustering with k-medoids algorithm</h1>
+<h1>Parallel clustering with a k-medoids algorithm</h1>
+
+<p>Joint work with <a href="http://eric.univ-lyon2.fr/~jcugliari/">Jairo Cugliari</a>.</p>
+
+<hr/>
 
 <p>This C program runs the k-medoid algorithm on several subsets of one (presumably big) dataset. 
 The computed medoids are then merged iteratively, until we get a final set of k centers.</p>
@@ -10,4 +14,4 @@ to the Journées de Statistique in Rennes, France (2014), and also the slides pr
 
 <p>The other folder contains all the C code; but not the EDF (french electricity company) datasets, because they 
 are not public. Since the (de)serialization process in code/src/TimeSeries/ is tailored for these data, 
-it is necessary to adapt this small part of the code to use any other custom time-series files.</p>
\ No newline at end of file
+it is necessary to adapt this small part of the code to use any other custom time-series files.</p>