Statistics, Covariance Matrix, Eigenvectors, Pca Analysis, Machine Learning.
the context of data analysis and machine learning, linear transformations can be used to reduce the dimensionality of data, discover latent features, or preprocess data. PCA, for instance, is a dimensionality reduction technique that leverages eigenvalues and eigenvectors to find the principal