KMeans多分类python代码

以下是KMeans多分类Python代码的示例：

from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs

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

kmeans = KMeans(n_clusters=4)
y_kmeans = kmeans.fit_predict(X)

import matplotlib.pyplot as plt

plt.scatter(X[:, 0], X[:, 1], c=y_kmeans, s=50, cmap='viridis')

centers = kmeans.cluster_centers_
plt.scatter(centers[:, 0], centers[:, 1], c='black', s=200, alpha=0.5);

请注意，这是一个通用的示例，您需要根据您的数据和需要进行相应的调整。