km = sklearn.cluster.KMeans(init='k-means++', max_iter=10000, n_init=1,
    verbose=0, n_clusters=25)
clusters = km.fit_predict(X_train_tfidf)
print(X_train_tfidf.shape)
print(clusters.shape)
cluster_0 = np.where(clusters == 0)
X_cluster_0 = X_train_tfidf[cluster_0]
How to Find Documents That are in the same Cluster with KMeans