Data Science, Machine Learning, Pca, Big Data, Principal Component.
which corresponds to n observations with d features, and an input k, the main objective of PCA is to decompose matrix X into two smaller matrices, Z and W, such that X= ZW, where Z has dimensions n*k and W has dimensions k*d (see Fig. 4). Each row of Z is a factor loading. Each row of W is called a