Umap, Machine Learning, AI, Dimensionality Reduction.
(principal components) along which the data varies the most, and the eigenvalues indicate the magnitude of variance along these directions. Selecting Principal Components: PCA orders the eigenvectors by their corresponding eigenvalues in descending order. The eigenvector with the highest eigenvalue