Merge branch 'main' of ssh://ssh.hesge.ch:10572/ia-et-machine-learning/tp-clustering into main

main.py

@@ -52,7 +52,7 @@ if __name__ == '__main__':
         for iteration, centroid in enumerate(centroids):
             cluster_points = np.array(clusters[iteration])
             plt.scatter(cluster_points[:, 0], cluster_points[:, 1], label=f"Cluster {iteration}")
-            plt.scatter(centroid[0], centroid[1], marker="x", s=200, c="red", label=f"Centroïde {iteration + 1}")
+            plt.scatter(centroid[0], centroid[1], marker="+", s=200, c="red", label=f"Centroïde {iteration + 1}")
 
         plt.xlabel("Grade 1")
         plt.ylabel("Grade 2")