Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
matrices. Covariance measures how the dataset varies, whereas the scatter matrix is a normalized version of covariance. One potential issue with using PCA in this scenario is that larger dimensions with non-zero weights could impact its performance. Since the goal of PCA is to minimize significant