Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
independent features we are looking for (but scaled down to be unit length). The diagonal entries of 𝝨 are referred to as singular values and correspond to the how much of the variance in the data is explained by the corresponding columns of U. The output of SVD orders columns by decreasing