SQQS5053:Applied Multivariate Data Analysis Assignment, UUM, Malaysia Show that the following matrix A is an orthogonal matrix Then, compute its eigenvalues and eigenvectors.
1. PCA is a technique for? (note: you can select multiple answers) variance normalization. dimensionality reduction. feature extraction. data augmentation. 2. When performing PCA we want to find orthogonal vectors. estimate the number of dimensions. find the components of the dataset. find the most meaningful basis. The most popularly used dimensionality reduction algorithm is Principal Component …