在sklearn中打印聚类结果及其用户

from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs
import matplotlib.pyplot as plt

X, y_true = make_blobs(n_samples=300, centers=4, cluster_std=0.60, random_state=0)

kmeans = KMeans(n_clusters=4)
kmeans.fit(X)

print("聚类中心点坐标：")
print(kmeans.cluster_centers_)
print("\n每个样本的簇标签：")
print(kmeans.labels_)

plt.scatter(X[:, 0], X[:, 1], c=kmeans.labels_, cmap='viridis')
plt.scatter(kmeans.cluster_centers_[:, 0], kmeans.cluster_centers_[:, 1], marker='x', color='red')
plt.title("聚类结果")
plt.show()