Streamlit, Python, Scikit Learn, Image Processing, Linear Algebra.
accurate reconstruction of our image. plt.figure(figsize=(10,6)) cumulative = np.cumsum(svd.explained_variance_ratio_) plt.title("Explained variance") plt.plot(np.arange(k), cumulative) plt.xlabel("Number of components") plt.ylabel("Cumulative explained variance") plt.show() This plot illustrates