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clustering.py

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+import numpy as np
+from sklearn.cluster import KMeans
+import time
+
+# 生成随机数据
+np.random.seed(0)
+X = np.random.rand(10000, 10)
+
+# 设置要测试的聚类数目
+n_clusters = 3
+
+# 创建K均值聚类模型
+kmeans = KMeans(n_clusters=n_clusters)
+
+# 运行K均值聚类算法
+start_time = time.time()
+kmeans.fit(X)
+end_time = time.time()
+
+# 输出聚类结果和算法执行时间
+print("聚类中心坐标:")
+print(kmeans.cluster_centers_)
+print("\n算法执行时间: {:.4f} 秒".format(end_time - start_time))