elbow method

tests/04_cluster_ant_colony_no_animation_elbow_algo.py

@@ -42,70 +42,3 @@ plt.xlabel('Number of clusters')
 plt.ylabel('Inertia')
 plt.show()
 
-
-
-
-for cluster in clusters.values():
-    print(len(cluster))
-print("\n---- TIME ----")
-print("generate cities time: ", stop_time_generate - start_time_generate)
-print("split cities time: ", stop_time_split - start_time_split)
-
-# create new figure for annealing paths
-plt.figure()
-colors = [
-    '#1f77b4',  # Bleu moyen
-    '#ff7f0e',  # Orange
-    '#2ca02c',  # Vert
-    '#d62728',  # Rouge
-    '#9467bd',  # Violet
-    '#8c564b',  # Marron
-    '#e377c2',  # Rose
-    '#7f7f7f',  # Gris
-    '#bcbd22',  # Vert olive
-    '#17becf',  # Turquoise
-    '#1b9e77',  # Vert Teal
-    '#d95f02',  # Orange foncé
-    '#7570b3',  # Violet moyen
-    '#e7298a',  # Fuchsia
-    '#66a61e',  # Vert pomme
-    '#e6ab02',  # Jaune or
-    '#a6761d',  # Bronze
-    '#666666',  # Gris foncé
-    '#f781bf',  # Rose clair
-    '#999999',  # Gris moyen
-]
-
-best_routes = []
-
-for i, cluster_indices in enumerate(clusters.values()):
-    # Sélection d'une couleur pour le cluster
-    color = colors[i % len(colors)]
-    
-    # Récupération des coordonnées de la ville
-    cluster_cities = [cities[index] for index in cluster_indices]
-
-    # Appel de la fonction AntColony.run
-    ant_colony = AntColony(cluster_cities, n_ants=nb_ants, max_time=max_time_per_cluster, alpha=1, beta=5)
-    best_route = ant_colony.run()
-    best_routes.append((best_route, color))
-
-    print("Total distance for cluster", i, ": ", total_distance(best_route))
-
-# calculate total distance for all clusters
-full_total_distance = 0
-for route, color in best_routes:
-    full_total_distance += total_distance(route)
-
-print("Total distance for all clusters: ", full_total_distance)
-
-for i, (route, color) in enumerate(best_routes):
-    x = [city[0] for city in route]
-    y = [city[1] for city in route]
-    x.append(x[0])
-    y.append(y[0])
-    plt.plot(x, y, color="blue", marker='o', linestyle='-', label=f"Cluster {i}")
-    # add title with nb_ville, nb_truck and max_time
-    plt.title(f"nb_ville = {len(cities)}, nb_truck = {nb_truck}, max_time = {max_time}")   
-
-plt.show()