Pca Analysis, Survival Analysis, Python, Finance, Business.
eigen_vectors[:, :5] # Select top five principal components based on eigenvalues explained_variance = round(np.sum(eigen_values[:5]) / float(X.shape[0]), 2)*100 # Determine percentage of variance explained by chosen components print("Number of Principal Components: ", components.shape[1]) # Print