pip install numpy scipy python from milk.supervised import kmeans from milk.unsupervised import pca from milksets import wine features, labels = wine.load() selected_features = pca.pca(features, minfrac=0.95) model = kmeans.kmeans(selected_features, 3) predicted_labels = model.apply(selected_features) print(predicted_labels)