from sklearn.datasets import make_blobs import pandas as pd ## On importe une fonction qui cocnstruit un dataset à 2 dimension de sklearn n_samples = 400 random_state = 170 X, y = make_blobs(n_samples=n_samples, random_state=random_state, cluster_std = 0.4) X = pd.DataFrame(X, columns = ['abscisse','ordonnée'])

from sklearn.cluster import DBSCAN y_pred = DBSCAN(eps = 0.2, min_samples=5).fit_predict(X) plt.scatter(X['abscisse'],X['ordonnée'],c= y_pred);