KMeans算法“肘”方法评估聚类个数——K值确定```js import matplotlib.pyplot as p

import matplotlib.pyplot as plt
wcss = []
for i in range(1, 11): #循环使用不同k测试结果
  kmeans = KMeans(n_clusters = i, init = 'k-means++', random_state = 42)
  kmeans.fit(X)
  wcss.append(kmeans.inertia_) #inertia簇内误差平方和
  
plt.plot(range(1, 11), wcss)
plt.title('The Elbow Method')
plt.xlabel('Number of clusters')
plt.ylabel('WCSS')
plt.show()