Update app.py

app.py

@@ -7,9 +7,9 @@ from sklearn.cluster import KMeans
 # Generate the datasets
 np.random.seed(42)
 num_samples = 100
-traffic_centers = [(0, 0), (100, 100)]
-nature_centers = [(0, 0), (100, 100)]
-population_centers = [(0, 0), (30, 30), (100, 100)]
+traffic_centers = [(20, 20), (80, 80)]
+nature_centers = [(0, 80), (80, 0)]
+population_centers = [(0, 0), (50, 50), (100, 100)]
 
 traffic_data = [np.random.normal(center, 10, (num_samples, 2)) for center in traffic_centers]
 nature_data = [np.random.normal(center, 10, (num_samples, 2)) for center in nature_centers]