Data Science, Machine Learning, Pca, Big Data, Principal Component.
principal component. Fig. 4: PCA decomposes matrix X into two smaller matrix Z and W. In PCA, we minimize the squared error of the following objective function: There are three common approaches to solve PCA, which we describe below. Singular Value Decomposition (SVD) This approach first uses the