K均值聚类的性能较慢

Question

我一直在项目中使用K-Means群集，但是要花很多时间才能获得响应，下面的代码显示了用法，任何人都可以帮助我。预先感谢！

for i in range(n_sentence):
    enc_email = enc_sentence[i]
    n_clusters = int(np.ceil(len(enc_email)**0.5))

    kmeans = KMeans(n_clusters=n_clusters, random_state=0)

    kmeans = kmeans.fit(enc_email)

    avg = []
    closest = []
    for j in range(n_clusters):
        idx = np.where(kmeans.labels_ == j)[0]
        avg.append(np.mean(idx))

    closest, _ = pairwise_distances_argmin_min(kmeans.cluster_centers_,\
                                               enc_email)


    ordering = sorted(range(n_clusters), key=lambda k: avg[k])
    summary[i] = ' '.join([sentence[i][closest[idx]] for idx in ordering])

print('Clustering Finished')