Pharmaceutical, Machine Learning, Graph Theory, Linear Programming.
plt.figure(figsize=(15,10)) plt.scatter(PCA_3_Axis[0], PCA_3_Axis[1], c = y_predicted, s=150) plt.xlabel('PC1') plt.ylabel('PC2') plt.show() Our clusters look like this: summaries_1=npi_info.copy() summaries_1['segment']=y_predicted summaries_1.groupby(['segment']).mean().iloc[:,1:10] (5) Using