Developer.
then assign each sample to one of the six clusters. # Instantiate KMeans class clusterer = KMeans(n_clusters=6, random_state=99) # Compute cluster centers and predict cluster for each sample cluster_labels = clusterer.fit_predict(X_scaled_red) Next steps First, we will join the data that we input