Python '；KMeans'；对象没有属性'；集群中心'；

我正在使用Jupyter笔记本，我编写了以下代码：

from sklearn.datasets import make_blobs
dataset = make_blobs(n_samples=200, centers = 4,n_features = 2, cluster_std = 1.6, random_state = 50)
points = dataset[0];
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters = 4)
kmeans.fit(points)
plt.scatter(dataset[0][:,0],dataset[0][:,1])
clusters = kmeans.cluster_centers_

//下一行给出了错误：“KMeans”对象没有属性“cluster\u centers\u”

clusters = kmeans.cluster_centers_

---

我希望它能显示点的平均值或平均值。

在您的示例中，不清楚您的陈述是在调用

fit之前还是之后。该属性在
fit
方法中定义。您是在
fit
之前还是之后调用函数

如果您这样做，则会出现错误：

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

dataset = make_blobs(n_samples=200, centers = 4,n_features = 2, cluster_std = 1.6, random_state = 50)
points = dataset[0]

from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=4)
clusters = kmeans.cluster_centers_
kmeans.fit(points)

plt.scatter(dataset[0][:,0],dataset[0][:,1])

但这种方式不会产生错误

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

dataset = make_blobs(n_samples=200, centers = 4,n_features = 2, cluster_std = 1.6, random_state = 50)
points = dataset[0]

from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=4)
kmeans.fit(points)
clusters = kmeans.cluster_centers_

plt.scatter(dataset[0][:,0],dataset[0][:,1])