Data Science, Linear Algebra, Dimensionality Reduction, Math.
that was the whole point of PCA. So first, let’s calculate the sample variance. Since the whole purpose of PCA is to maximize the variance along the projected axis, we are going to do that in the equation too. But we need to be careful. If we don’t set the constraints, say have very large “v”, then