Pharmaceutical, Machine Learning, Graph Theory, Linear Programming.
km=KMeans(n_clusters=5,random_state=0) y_predicted = km.fit_predict(X) y_predicted from sklearn import decomposition, datasets pca = decomposition.PCA(n_components=2) # Fit the PCA and transform the data X_std_pca = pca.fit_transform(X) PCA_3_Axis = pd.DataFrame(X_std_pca) PCA_3_Axis.head() fig =