def plot_result(self, cluster, mean):
fig = plt.figure()
ax = fig.add_subplot(111)
for i in range(len(cluster)):
markers = MarkerStyle().markers
marker = random.choice(list(markers.keys()))
ax.scatter(cluster[i][:, 0].A.T, cluster[i][:, 1].A.T, marker=marker)
ax.scatter(mean[i][0, 0], mean[i][0, 1], marker='+', s=500)
plt.show()
