IVFSparse: 文档中记录的 `nfeatures` 设置不起作用 (特征选择被覆盖)

Select top n most important features that contribute to L2 vector norm

indices = np.argsort(-norm(train, axis=0))[: self.setting("nfeatures", 25)] data = train[:, indices]

Cluster data using k-means

kmeans = MiniBatchKMeans(n_clusters=clusters, random_state=0, n_init=5).fit(data)