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浠ヤ笅鏄竴涓娇鐢ˋgglomerativeClustering瀹炵幇灞傛鑱氱被鐨勭ず渚嬩唬鐮侊細

import numpy as np
from sklearn.cluster import AgglomerativeClustering
from sklearn.datasets import make_blobs
import matplotlib.pyplot as plt

# 鐢熸垚闅忔満鏁版嵁
X, y = make_blobs(n_samples=100, centers=3, random_state=42)

# 浣跨敤AgglomerativeClustering杩涜灞傛鑱氱被
clustering = AgglomerativeClustering(n_clusters=3)
clustering.fit(X)

# 鍙鍖栬仛绫荤粨鏋?/span>
plt.scatter(X[:, 0], X[:, 1], c=clustering.labels_, cmap='rainbow')
plt.show()

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