Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
contained in that first feature. So while the matrix containing all this data may be high-dimensional, the effective dimension (or rank of the matrix) is very low. In practice, it’s rare to have perfectly linearly dependent features as above. There is usually some variation around that linear