Umap, Machine Learning, AI, Dimensionality Reduction.
two features measures how they vary together. The covariance matrix summarizes the relationships between all pairs of features. The next step is called Eigenvalue-Decomposition. PCA then computes the eigenvalues and eigenvectors of the covariance matrix. The eigenvectors represent the directions