Svd, Latent Semantic Analysis, Text Analytics, Data Science, Development.
of these forms to represent a matrix as a square matrix. If we come back to the SVD definition, we can see that we are searching for the following decomposition: A = U * Σ * V^T The U matrix is also known as a list of Left Singular Vectors, and can be calculated using the eigenvectors of AA^T