Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
eigenvectors are known as Principal Components (PCs). This approach is preferred when dealing with non-linear data, as it avoids the challenges posed by linear rotation of the given axis. Scatter matrices are calculated to assess the variance of a dataset, which are equivalent to covariance