Data Science, Machine Learning, Pattern Recognition, Pca Analysis, Data Reduction.
”covariance matrix.” In Singular Value Decomposition (SVD), the eigenvectors of AAᵀ are represented by U, and those of AᵀA by V. In the context of SVD, we refer to them as singular values. These matrices’ positive eigenvalues, the square roots of which are singular values, remain identical. From