Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
how in SVD we choose the r (r is the number of dimensions we want to reduce to) left most values of Σ to lower dimensionality? Well there is something special about Σ . Σ is a diagonal matrix, there are p (number of dimensions) diagonal values (called singular values) and their magnitude indicates