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--- a/clustering.py
+++ b/clustering.py
@ -1,24 +0,0 @@
 import numpy as np
 from sklearn.cluster import KMeans
 import time
 import
 # 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))
--- a/文档.docx
+++ b/文档.docx