X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=code%2Fstage1%2Fsrc%2FClassification%2FgetClass.c;h=acec1670dd31ec2d0339e7e0dcd45b3e9b4f4686;hb=73d68777d709e054cf74e806e23b0bdefda9462a;hp=aed146747c61362dfd7018f2b715df44b9b3fbc4;hpb=f9f51b6ab4c7280dd521da675353252d7b078984;p=epclust.git

diff --git a/code/stage1/src/Classification/getClass.c b/code/stage1/src/Classification/getClass.c
index aed1467..acec167 100644
--- a/code/stage1/src/Classification/getClass.c
+++ b/code/stage1/src/Classification/getClass.c
@@ -12,14 +12,14 @@ uint32_t* get_class(PowerCurve* data, uint32_t nbSeries, PowerCurve* medoids,
 	uint32_t nbReducedCoordinates = (uint32_t)ceil(log2(nbValues));
 
 	// Preprocessing to reduce dimension of both data and medoids
-	Real* reducedCoordinates_data = (Real*) malloc(nbSeries * nbReducedCoordinates * sizeof(Real));
+	float* reducedCoordinates_data = (float*) malloc(nbSeries * nbReducedCoordinates * sizeof(float));
 	compute_coefficients(data, nbSeries, nbValues, 
 		reducedCoordinates_data, 0, nbReducedCoordinates);
-	Real* reducedCoordinates_medoids = (Real*) malloc(nbClusters * nbReducedCoordinates * sizeof(Real));
+	float* reducedCoordinates_medoids = (float*) malloc(nbClusters * nbReducedCoordinates * sizeof(float));
 	compute_coefficients(medoids, nbClusters, nbValues, 
 		reducedCoordinates_medoids, 0, nbReducedCoordinates);
 	
-	Real* dissimilarities = get_dissimilarities_inter(reducedCoordinates_data, nbSeries, 
+	float* dissimilarities = get_dissimilarities_inter(reducedCoordinates_data, nbSeries, 
 		reducedCoordinates_medoids, nbClusters, nbReducedCoordinates, p_for_dissims);
 	free(reducedCoordinates_data);
 	free(reducedCoordinates_medoids);
@@ -29,7 +29,7 @@ uint32_t* get_class(PowerCurve* data, uint32_t nbSeries, PowerCurve* medoids,
 	for (uint32_t i=0; i<nbSeries; i++)
 	{
 		uint32_t minIndex = 0;
-		Real minDissim = dissimilarities[i*nbClusters + 0];
+		float minDissim = dissimilarities[i*nbClusters + 0];
 		for (uint32_t j=1; j<nbClusters; j++)
 		{
 			if (dissimilarities[i*nbClusters + j] < minDissim)