wcss = []
for i in range(1,10):
kmeans = KMeans(i)
kmeans.fit(x_scaled)
wcss_iter = kmeans.inertia_
wcss.append(wcss_iter)
当我运行代码时，我收到以下警告： C:\Users\grahv\anaconda3\lib\site-packages\sklearn\cluster_kmeans.py:881: UserWarning: KMeans isknown to have a memory Leak on Windows with MKL，当块数少于可用线程数。您可以通过设置环境变量 OMP_NUM_THREADS=1 来避免它。警告.警告(