nbClusters = nbSeriesInChunk;
 
        double idealNbSeriesInChunk = 0.0; //unused if randomize == TRUE
-       if (!randomize) 
+       if (!randomize)
        {
                // Adjust nbSeriesInChunk to avoid small remainders.
                // Each node should have at least nbSeriesInChunk (as given to the function).
 }
 
 //main classification task (using clustering result)
+//NOTE: ifileName == courbes à classer (?!)
 int classif_main(int argc, char** argv)
 {
        const char* ifileName = argv[1];
 
        uint32_t smallestNonProcessedIndex = 0;
        double DISTOR = 0.0;
+       FILE* labelsFile = fopen("LABELS", "w");
        while (smallestNonProcessedIndex < nbSeries)
        {
                uint32_t lowerBound = smallestNonProcessedIndex;
                for (uint32_t i=0; i<upperBound-lowerBound; i++)
                        ranks[i] = lowerBound + i;
                PowerCurve* data = deserialize(ifileName, NULL, ranks, upperBound-lowerBound);
-               uint32_t* labels = get_class(data, upperBound-lowerBound, medoids, nbClusters, 
+               uint32_t* labels = get_class(data, upperBound-lowerBound, medoids, nbClusters,
                        nbValues, p_for_dissims, &DISTOR);
-               // send labels to standard output
+               // send labels to LABELS file
                for (uint32_t i=0; i<upperBound-lowerBound; i++)
                {
                        free(data[i].values);
-                       fprintf(stdout, "%u\n",labels[i]);
+                       fprintf(labelsFile, "%u\n",labels[i]);
                }
                free(data);
                free(labels);
                smallestNonProcessedIndex += (upperBound-lowerBound);
        }
+       fclose(labelsFile);
        for (uint32_t i=0; i<nbClusters; i++)
                free(medoids[i].values);
        free(medoids);
        free(ranks);
-       fprintf(stderr, "DISTOR = %g\n",DISTOR);
+       fprintf(stdout, "DISTOR = %g\n",DISTOR);
        return 0;
 }