vectors=model.syn0n_clusters_kmeans=20#moreforvisualization100betterforclusteringmin_kmeans=MiniBatchKMeans(init='k-means++',n_clusters=n_clusters_kmeans,n_init=10)min_kmeans.fit(vectors)X_reduced=TruncatedSVD(n_components=50,random_state=0).fit_transform(vectors)X_embedded=TSNE(n_components=2,p